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You searched for subject:(Imitation learning). Showing records 1 – 30 of 130 total matches.

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1. Ariki, Yuka. An Imitation Learning Framework that Explicitly Considers Robot Configurations and Robot-Environment Interactions.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

Subjects/Keywords: Imitation Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ariki, Y. (n.d.). An Imitation Learning Framework that Explicitly Considers Robot Configurations and Robot-Environment Interactions. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/6036

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ariki, Yuka. “An Imitation Learning Framework that Explicitly Considers Robot Configurations and Robot-Environment Interactions.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed March 05, 2021. http://hdl.handle.net/10061/6036.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ariki, Yuka. “An Imitation Learning Framework that Explicitly Considers Robot Configurations and Robot-Environment Interactions.” Web. 05 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Ariki Y. An Imitation Learning Framework that Explicitly Considers Robot Configurations and Robot-Environment Interactions. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10061/6036.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Ariki Y. An Imitation Learning Framework that Explicitly Considers Robot Configurations and Robot-Environment Interactions. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/6036

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Cornell University

2. Yu, Yue. Copy The Means Or Copy The Goal: Individual Differences And Developmental Changes In Young Children’S Imitative Behavior.

Degree: PhD, Developmental Psychology, 2015, Cornell University

 For young children, imitation serves both a learning role to gain knowledge and skills, and a social role to connect with people. Research on young… (more)

Subjects/Keywords: imitation; individual differences; social learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, Y. (2015). Copy The Means Or Copy The Goal: Individual Differences And Developmental Changes In Young Children’S Imitative Behavior. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/41051

Chicago Manual of Style (16th Edition):

Yu, Yue. “Copy The Means Or Copy The Goal: Individual Differences And Developmental Changes In Young Children’S Imitative Behavior.” 2015. Doctoral Dissertation, Cornell University. Accessed March 05, 2021. http://hdl.handle.net/1813/41051.

MLA Handbook (7th Edition):

Yu, Yue. “Copy The Means Or Copy The Goal: Individual Differences And Developmental Changes In Young Children’S Imitative Behavior.” 2015. Web. 05 Mar 2021.

Vancouver:

Yu Y. Copy The Means Or Copy The Goal: Individual Differences And Developmental Changes In Young Children’S Imitative Behavior. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1813/41051.

Council of Science Editors:

Yu Y. Copy The Means Or Copy The Goal: Individual Differences And Developmental Changes In Young Children’S Imitative Behavior. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41051


Vanderbilt University

3. Erdemir, Erdem. A Developmental Approach for Affordance and Imitation Learning Through Self-Exploration in Cognitive Robots.

Degree: PhD, Electrical Engineering, 2012, Vanderbilt University

 Cognitive robotics is one of the branches of robotics that is concerned with the design and implementation of robots that will accomplish cognitive tasks such… (more)

Subjects/Keywords: robot; cognitive; robotics; imitation learning; artificial intelligence; imitation learning

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APA (6th Edition):

Erdemir, E. (2012). A Developmental Approach for Affordance and Imitation Learning Through Self-Exploration in Cognitive Robots. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13236

Chicago Manual of Style (16th Edition):

Erdemir, Erdem. “A Developmental Approach for Affordance and Imitation Learning Through Self-Exploration in Cognitive Robots.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed March 05, 2021. http://hdl.handle.net/1803/13236.

MLA Handbook (7th Edition):

Erdemir, Erdem. “A Developmental Approach for Affordance and Imitation Learning Through Self-Exploration in Cognitive Robots.” 2012. Web. 05 Mar 2021.

Vancouver:

Erdemir E. A Developmental Approach for Affordance and Imitation Learning Through Self-Exploration in Cognitive Robots. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1803/13236.

Council of Science Editors:

Erdemir E. A Developmental Approach for Affordance and Imitation Learning Through Self-Exploration in Cognitive Robots. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/13236


NSYSU

4. Chung, Chi-Hsiu. Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation.

Degree: Master, Information Management, 2009, NSYSU

 This thesis presents an imitation-based methodology, also a simple and easy way, for a service robot to learn the behaviors demonstrated by the user. With… (more)

Subjects/Keywords: Genetic Algorithm; Imitation Learning; Robot Learning

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APA (6th Edition):

Chung, C. (2009). Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729109-002840

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chung, Chi-Hsiu. “Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation.” 2009. Thesis, NSYSU. Accessed March 05, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729109-002840.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chung, Chi-Hsiu. “Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation.” 2009. Web. 05 Mar 2021.

Vancouver:

Chung C. Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation. [Internet] [Thesis]. NSYSU; 2009. [cited 2021 Mar 05]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729109-002840.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chung C. Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729109-002840

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

5. Jauhri, Snehal (author). Interactive Learning in State-space: Enabling robots to learn from non-expert humans.

Degree: 2020, Delft University of Technology

Imitation Learning is a technique that enables programming the behavior of agents through demonstration, as opposed to manually engineering behavior. However, Imitation Learning methods require… (more)

Subjects/Keywords: Imitation Learning; Learning from Demonstrations; Robot Control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jauhri, S. (. (2020). Interactive Learning in State-space: Enabling robots to learn from non-expert humans. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:be1a04dc-1780-4683-9a7c-77434cd77fa7

Chicago Manual of Style (16th Edition):

Jauhri, Snehal (author). “Interactive Learning in State-space: Enabling robots to learn from non-expert humans.” 2020. Masters Thesis, Delft University of Technology. Accessed March 05, 2021. http://resolver.tudelft.nl/uuid:be1a04dc-1780-4683-9a7c-77434cd77fa7.

MLA Handbook (7th Edition):

Jauhri, Snehal (author). “Interactive Learning in State-space: Enabling robots to learn from non-expert humans.” 2020. Web. 05 Mar 2021.

Vancouver:

Jauhri S(. Interactive Learning in State-space: Enabling robots to learn from non-expert humans. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 05]. Available from: http://resolver.tudelft.nl/uuid:be1a04dc-1780-4683-9a7c-77434cd77fa7.

Council of Science Editors:

Jauhri S(. Interactive Learning in State-space: Enabling robots to learn from non-expert humans. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:be1a04dc-1780-4683-9a7c-77434cd77fa7

6. Silveria, Niki T. Optimal Strategy Imitation Learning from Differential Games.

Degree: 2017, University of Nevada – Reno

 The ability of a vehicle to navigate safely through any environment relies on its driver having an accurate sense of the future positions and goals… (more)

Subjects/Keywords: autonomous vehicles; differential games; imitation learning

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APA (6th Edition):

Silveria, N. T. (2017). Optimal Strategy Imitation Learning from Differential Games. (Thesis). University of Nevada – Reno. Retrieved from http://hdl.handle.net/11714/2797

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Silveria, Niki T. “Optimal Strategy Imitation Learning from Differential Games.” 2017. Thesis, University of Nevada – Reno. Accessed March 05, 2021. http://hdl.handle.net/11714/2797.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Silveria, Niki T. “Optimal Strategy Imitation Learning from Differential Games.” 2017. Web. 05 Mar 2021.

Vancouver:

Silveria NT. Optimal Strategy Imitation Learning from Differential Games. [Internet] [Thesis]. University of Nevada – Reno; 2017. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/11714/2797.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Silveria NT. Optimal Strategy Imitation Learning from Differential Games. [Thesis]. University of Nevada – Reno; 2017. Available from: http://hdl.handle.net/11714/2797

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

7. Schroecker, Yannick Karl Daniel. Manipulating state space distributions for sample-efficient imitation-learning.

Degree: PhD, Interactive Computing, 2020, Georgia Tech

Imitation learning has emerged as one of the most effective approaches to train agents to act intelligently in unstructured and unknown domains. On its own… (more)

Subjects/Keywords: Imitation learning; Reinforcement learning; Deep learning; Machine learning; Artificial intelligence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Schroecker, Y. K. D. (2020). Manipulating state space distributions for sample-efficient imitation-learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62755

Chicago Manual of Style (16th Edition):

Schroecker, Yannick Karl Daniel. “Manipulating state space distributions for sample-efficient imitation-learning.” 2020. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/62755.

MLA Handbook (7th Edition):

Schroecker, Yannick Karl Daniel. “Manipulating state space distributions for sample-efficient imitation-learning.” 2020. Web. 05 Mar 2021.

Vancouver:

Schroecker YKD. Manipulating state space distributions for sample-efficient imitation-learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/62755.

Council of Science Editors:

Schroecker YKD. Manipulating state space distributions for sample-efficient imitation-learning. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62755


Georgia Tech

8. Cheng, Ching An. Efficient and principled robot learning: Theory and algorithms.

Degree: PhD, Interactive Computing, 2020, Georgia Tech

 Roboticists have long envisioned fully-automated robots that can operate reliably in unstructured environments. This is an exciting but extremely difficult problem; in order to succeed,… (more)

Subjects/Keywords: Online learning; Control theory; Robotics; Optimization; Reinforcement learning; Imitation learning

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APA (6th Edition):

Cheng, C. A. (2020). Efficient and principled robot learning: Theory and algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62733

Chicago Manual of Style (16th Edition):

Cheng, Ching An. “Efficient and principled robot learning: Theory and algorithms.” 2020. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/62733.

MLA Handbook (7th Edition):

Cheng, Ching An. “Efficient and principled robot learning: Theory and algorithms.” 2020. Web. 05 Mar 2021.

Vancouver:

Cheng CA. Efficient and principled robot learning: Theory and algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/62733.

Council of Science Editors:

Cheng CA. Efficient and principled robot learning: Theory and algorithms. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62733

9. 朴, 江. Imitation Learning Framework using Principal Component Analysis for Humanoid Robot Motion Generation : ヒューマノイドロボット動作生成のための主成分分析を用いた模倣学習フレームワーク.

Degree: 博士(工学), 2015, Hokkaido University / 北海道大学

This dissertation investigates the efficient imitation learning framework based on principal component analysis to generate desired and abundant motions using few human demonstrations in the… (more)

Subjects/Keywords: Machine Learning; Imitation Learning; Principal Component Analysis; Evolutionary Process

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APA (6th Edition):

朴, . (2015). Imitation Learning Framework using Principal Component Analysis for Humanoid Robot Motion Generation : ヒューマノイドロボット動作生成のための主成分分析を用いた模倣学習フレームワーク. (Thesis). Hokkaido University / 北海道大学. Retrieved from http://hdl.handle.net/2115/58948 ; http://dx.doi.org/10.14943/doctoral.k11770

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

朴, 江. “Imitation Learning Framework using Principal Component Analysis for Humanoid Robot Motion Generation : ヒューマノイドロボット動作生成のための主成分分析を用いた模倣学習フレームワーク.” 2015. Thesis, Hokkaido University / 北海道大学. Accessed March 05, 2021. http://hdl.handle.net/2115/58948 ; http://dx.doi.org/10.14943/doctoral.k11770.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

朴, 江. “Imitation Learning Framework using Principal Component Analysis for Humanoid Robot Motion Generation : ヒューマノイドロボット動作生成のための主成分分析を用いた模倣学習フレームワーク.” 2015. Web. 05 Mar 2021.

Vancouver:

朴 . Imitation Learning Framework using Principal Component Analysis for Humanoid Robot Motion Generation : ヒューマノイドロボット動作生成のための主成分分析を用いた模倣学習フレームワーク. [Internet] [Thesis]. Hokkaido University / 北海道大学; 2015. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/2115/58948 ; http://dx.doi.org/10.14943/doctoral.k11770.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

朴 . Imitation Learning Framework using Principal Component Analysis for Humanoid Robot Motion Generation : ヒューマノイドロボット動作生成のための主成分分析を用いた模倣学習フレームワーク. [Thesis]. Hokkaido University / 北海道大学; 2015. Available from: http://hdl.handle.net/2115/58948 ; http://dx.doi.org/10.14943/doctoral.k11770

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

10. Ramamurthy, Arun. A reinforcement learning framework for the automation of engineering decisions in complex systems.

Degree: PhD, Aerospace Engineering, 2019, Georgia Tech

 The process of engineering design is characterized by a series of decisions that determine the performance of the final product. Engineers are faced with decisions,… (more)

Subjects/Keywords: Reinforcement learning; Artificial intelligence; Engineering design; Imitation learning; CAD2Vec

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ramamurthy, A. (2019). A reinforcement learning framework for the automation of engineering decisions in complex systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62626

Chicago Manual of Style (16th Edition):

Ramamurthy, Arun. “A reinforcement learning framework for the automation of engineering decisions in complex systems.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/62626.

MLA Handbook (7th Edition):

Ramamurthy, Arun. “A reinforcement learning framework for the automation of engineering decisions in complex systems.” 2019. Web. 05 Mar 2021.

Vancouver:

Ramamurthy A. A reinforcement learning framework for the automation of engineering decisions in complex systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/62626.

Council of Science Editors:

Ramamurthy A. A reinforcement learning framework for the automation of engineering decisions in complex systems. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62626


Georgia Tech

11. Edwards, Ashley Deloris. Emulation and imitation via perceptual goal specifications.

Degree: PhD, Computer Science, 2019, Georgia Tech

 This dissertation aims to demonstrate how perceptual goal specifications may be used as alternative representations for specifying domain-specific reward functions for reinforcement learning. The works… (more)

Subjects/Keywords: Reinforcement learning; Goal specification; Imitation learning; Reward design

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APA (6th Edition):

Edwards, A. D. (2019). Emulation and imitation via perceptual goal specifications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61234

Chicago Manual of Style (16th Edition):

Edwards, Ashley Deloris. “Emulation and imitation via perceptual goal specifications.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/61234.

MLA Handbook (7th Edition):

Edwards, Ashley Deloris. “Emulation and imitation via perceptual goal specifications.” 2019. Web. 05 Mar 2021.

Vancouver:

Edwards AD. Emulation and imitation via perceptual goal specifications. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/61234.

Council of Science Editors:

Edwards AD. Emulation and imitation via perceptual goal specifications. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61234


Vanderbilt University

12. O'Doherty, Katherine Duffy. Young children’s social-category based preferences and learning biases: an examination of methodological effects.

Degree: PhD, Psychology, 2013, Vanderbilt University

 By the time children reach the preschool years, they have become skilled in two social abilities: 1) dividing their world into social groups and evaluating… (more)

Subjects/Keywords: social groups; social learning; social cognition; word learning; imitation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

O'Doherty, K. D. (2013). Young children’s social-category based preferences and learning biases: an examination of methodological effects. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12016

Chicago Manual of Style (16th Edition):

O'Doherty, Katherine Duffy. “Young children’s social-category based preferences and learning biases: an examination of methodological effects.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed March 05, 2021. http://hdl.handle.net/1803/12016.

MLA Handbook (7th Edition):

O'Doherty, Katherine Duffy. “Young children’s social-category based preferences and learning biases: an examination of methodological effects.” 2013. Web. 05 Mar 2021.

Vancouver:

O'Doherty KD. Young children’s social-category based preferences and learning biases: an examination of methodological effects. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1803/12016.

Council of Science Editors:

O'Doherty KD. Young children’s social-category based preferences and learning biases: an examination of methodological effects. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/12016


University of Illinois – Chicago

13. Tirinzoni, Andrea. Adversarial Inverse Reinforcement Learning with Changing Dynamics.

Degree: 2017, University of Illinois – Chicago

 Most work on inverse reinforcement learning, the problem of recovering the unknown reward function being optimized by a decision-making agent, has focused on cases where… (more)

Subjects/Keywords: Machine Learning; Inverse Reinforcement Learning; Reinforcement Learning; Adversarial Prediction; Markov Decision Process; Imitation Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tirinzoni, A. (2017). Adversarial Inverse Reinforcement Learning with Changing Dynamics. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22081

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tirinzoni, Andrea. “Adversarial Inverse Reinforcement Learning with Changing Dynamics.” 2017. Thesis, University of Illinois – Chicago. Accessed March 05, 2021. http://hdl.handle.net/10027/22081.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tirinzoni, Andrea. “Adversarial Inverse Reinforcement Learning with Changing Dynamics.” 2017. Web. 05 Mar 2021.

Vancouver:

Tirinzoni A. Adversarial Inverse Reinforcement Learning with Changing Dynamics. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10027/22081.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tirinzoni A. Adversarial Inverse Reinforcement Learning with Changing Dynamics. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22081

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Willim, Daniel. Developing a Self-learning Intelligent Agent in StarCraft II - Deep Reinforcement Learning with Imitation Learning .

Degree: Chalmers tekniska högskola / Institutionen för data och informationsteknik, 2019, Chalmers University of Technology

 Knowledge of machine learning is becoming more essential in many fields. This thesis explores and outlines the basics of machine learning through the complex game… (more)

Subjects/Keywords: Deep Q-Learning; Deep Q-Network; Imitation Learning; Machine Learning; PySC2; Reinforcement Learning; StarCraft II

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APA (6th Edition):

Willim, D. (2019). Developing a Self-learning Intelligent Agent in StarCraft II - Deep Reinforcement Learning with Imitation Learning . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/301904

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Willim, Daniel. “Developing a Self-learning Intelligent Agent in StarCraft II - Deep Reinforcement Learning with Imitation Learning .” 2019. Thesis, Chalmers University of Technology. Accessed March 05, 2021. http://hdl.handle.net/20.500.12380/301904.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Willim, Daniel. “Developing a Self-learning Intelligent Agent in StarCraft II - Deep Reinforcement Learning with Imitation Learning .” 2019. Web. 05 Mar 2021.

Vancouver:

Willim D. Developing a Self-learning Intelligent Agent in StarCraft II - Deep Reinforcement Learning with Imitation Learning . [Internet] [Thesis]. Chalmers University of Technology; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/20.500.12380/301904.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Willim D. Developing a Self-learning Intelligent Agent in StarCraft II - Deep Reinforcement Learning with Imitation Learning . [Thesis]. Chalmers University of Technology; 2019. Available from: http://hdl.handle.net/20.500.12380/301904

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Montpellier II

15. Derex, Maxime. Les mécanismes de l'évolution culturelle cumulative : Mechanisms of cumulative cultural evolution.

Degree: Docteur es, Evolution, Ecologie, Ressources génétiques, Paléontologie, 2013, Université Montpellier II

Le succès remarquable -écologique et démographique- de l'espèce humaine est largement attribué à notre capacité pour la culture cumulative, i.e. l'accumulation d'innovations culturelles à travers… (more)

Subjects/Keywords: Apprentissage social; Imitation; Évolution culturelle; Transmission sociale; Apprentissage individuel; Coopération; Social learning; Imitation; Cultural evolution; Social transmission; Individual learning; Cooperation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Derex, M. (2013). Les mécanismes de l'évolution culturelle cumulative : Mechanisms of cumulative cultural evolution. (Doctoral Dissertation). Université Montpellier II. Retrieved from http://www.theses.fr/2013MON20147

Chicago Manual of Style (16th Edition):

Derex, Maxime. “Les mécanismes de l'évolution culturelle cumulative : Mechanisms of cumulative cultural evolution.” 2013. Doctoral Dissertation, Université Montpellier II. Accessed March 05, 2021. http://www.theses.fr/2013MON20147.

MLA Handbook (7th Edition):

Derex, Maxime. “Les mécanismes de l'évolution culturelle cumulative : Mechanisms of cumulative cultural evolution.” 2013. Web. 05 Mar 2021.

Vancouver:

Derex M. Les mécanismes de l'évolution culturelle cumulative : Mechanisms of cumulative cultural evolution. [Internet] [Doctoral dissertation]. Université Montpellier II; 2013. [cited 2021 Mar 05]. Available from: http://www.theses.fr/2013MON20147.

Council of Science Editors:

Derex M. Les mécanismes de l'évolution culturelle cumulative : Mechanisms of cumulative cultural evolution. [Doctoral Dissertation]. Université Montpellier II; 2013. Available from: http://www.theses.fr/2013MON20147

16. Knyazeva, Elena. Apprendre par imitation : applications à quelques problèmes d'apprentissage structuré en traitement des langues : Imitation learning : application to several structured learning tasks in natural language processing.

Degree: Docteur es, Informatique, 2018, Université Paris-Saclay (ComUE)

L’apprentissage structuré est devenu omniprésent dans le traitement automatique des langues naturelles. De nombreuses applications qui font maintenant partie de notre vie telles que des… (more)

Subjects/Keywords: Apprentissage structuré; Apprentissage par imitation; Traitement automatique des langues naturelles naturelles; Structured learning; Imitation learning; Natural language processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Knyazeva, E. (2018). Apprendre par imitation : applications à quelques problèmes d'apprentissage structuré en traitement des langues : Imitation learning : application to several structured learning tasks in natural language processing. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2018SACLS134

Chicago Manual of Style (16th Edition):

Knyazeva, Elena. “Apprendre par imitation : applications à quelques problèmes d'apprentissage structuré en traitement des langues : Imitation learning : application to several structured learning tasks in natural language processing.” 2018. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 05, 2021. http://www.theses.fr/2018SACLS134.

MLA Handbook (7th Edition):

Knyazeva, Elena. “Apprendre par imitation : applications à quelques problèmes d'apprentissage structuré en traitement des langues : Imitation learning : application to several structured learning tasks in natural language processing.” 2018. Web. 05 Mar 2021.

Vancouver:

Knyazeva E. Apprendre par imitation : applications à quelques problèmes d'apprentissage structuré en traitement des langues : Imitation learning : application to several structured learning tasks in natural language processing. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2018. [cited 2021 Mar 05]. Available from: http://www.theses.fr/2018SACLS134.

Council of Science Editors:

Knyazeva E. Apprendre par imitation : applications à quelques problèmes d'apprentissage structuré en traitement des langues : Imitation learning : application to several structured learning tasks in natural language processing. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2018. Available from: http://www.theses.fr/2018SACLS134

17. Munzer, Thibaut. Représentations relationnelles et apprentissage interactif pour l'apprentissage efficace du comportement coopératif : Relational representations and interactive learning for efficient cooperative behavior learning.

Degree: Docteur es, Informatique, 2017, Bordeaux

Cette thèse présente de nouvelles approches permettant l’apprentissage efficace et intuitif de plans de haut niveau pour les robots collaboratifs. Plus précisément, nous étudions l’application… (more)

Subjects/Keywords: Coopératif; Robotique; Apprentissage par imitation; Représentations relationnelles; Apprentissage interactif; Cooperative; Robotics; Imitation Learning; Relational Representations; Interactive Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Munzer, T. (2017). Représentations relationnelles et apprentissage interactif pour l'apprentissage efficace du comportement coopératif : Relational representations and interactive learning for efficient cooperative behavior learning. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2017BORD0574

Chicago Manual of Style (16th Edition):

Munzer, Thibaut. “Représentations relationnelles et apprentissage interactif pour l'apprentissage efficace du comportement coopératif : Relational representations and interactive learning for efficient cooperative behavior learning.” 2017. Doctoral Dissertation, Bordeaux. Accessed March 05, 2021. http://www.theses.fr/2017BORD0574.

MLA Handbook (7th Edition):

Munzer, Thibaut. “Représentations relationnelles et apprentissage interactif pour l'apprentissage efficace du comportement coopératif : Relational representations and interactive learning for efficient cooperative behavior learning.” 2017. Web. 05 Mar 2021.

Vancouver:

Munzer T. Représentations relationnelles et apprentissage interactif pour l'apprentissage efficace du comportement coopératif : Relational representations and interactive learning for efficient cooperative behavior learning. [Internet] [Doctoral dissertation]. Bordeaux; 2017. [cited 2021 Mar 05]. Available from: http://www.theses.fr/2017BORD0574.

Council of Science Editors:

Munzer T. Représentations relationnelles et apprentissage interactif pour l'apprentissage efficace du comportement coopératif : Relational representations and interactive learning for efficient cooperative behavior learning. [Doctoral Dissertation]. Bordeaux; 2017. Available from: http://www.theses.fr/2017BORD0574


University of Illinois – Chicago

18. Chen, Xiangli. Robust Structured Prediction for Process Data.

Degree: 2017, University of Illinois – Chicago

 Processes involve a series of actions performed to achieve a particular result. Developing prediction models for process data is important for many real problems such… (more)

Subjects/Keywords: Structured Prediction; Optimal Control; Reinforcement Learning; Inverse Reinforcement Learning; Imitation Learning; Regression; Covariate Shift

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, X. (2017). Robust Structured Prediction for Process Data. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21987

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Xiangli. “Robust Structured Prediction for Process Data.” 2017. Thesis, University of Illinois – Chicago. Accessed March 05, 2021. http://hdl.handle.net/10027/21987.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Xiangli. “Robust Structured Prediction for Process Data.” 2017. Web. 05 Mar 2021.

Vancouver:

Chen X. Robust Structured Prediction for Process Data. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10027/21987.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen X. Robust Structured Prediction for Process Data. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21987

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Robert Gordon University

19. Hussein, Ahmed. Deep learning based approaches for imitation learning.

Degree: PhD, 2018, Robert Gordon University

Imitation learning refers to an agent's ability to mimic a desired behaviour by learning from observations. The field is rapidly gaining attention due to recent… (more)

Subjects/Keywords: Imitation learning; Intelligent applications; Deep learning methods; Learning; Demonstrations; Convolutional neural networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hussein, A. (2018). Deep learning based approaches for imitation learning. (Doctoral Dissertation). Robert Gordon University. Retrieved from http://hdl.handle.net/10059/3117

Chicago Manual of Style (16th Edition):

Hussein, Ahmed. “Deep learning based approaches for imitation learning.” 2018. Doctoral Dissertation, Robert Gordon University. Accessed March 05, 2021. http://hdl.handle.net/10059/3117.

MLA Handbook (7th Edition):

Hussein, Ahmed. “Deep learning based approaches for imitation learning.” 2018. Web. 05 Mar 2021.

Vancouver:

Hussein A. Deep learning based approaches for imitation learning. [Internet] [Doctoral dissertation]. Robert Gordon University; 2018. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10059/3117.

Council of Science Editors:

Hussein A. Deep learning based approaches for imitation learning. [Doctoral Dissertation]. Robert Gordon University; 2018. Available from: http://hdl.handle.net/10059/3117


Delft University of Technology

20. van Lohuijzen, Michiel (author). Towards incremental kinesthetic teaching of bipedal walking.

Degree: 2017, Delft University of Technology

 The large dimensionality of walking motions is a challenge for robot learning. The human seems designated to assist in this learning process, because of their… (more)

Subjects/Keywords: Kinesthetic Teaching; Iterative Learning Control; Bipedal Walking; Learning from Demonstrations; Learning by Imitation; Robots

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

van Lohuijzen, M. (. (2017). Towards incremental kinesthetic teaching of bipedal walking. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:08c3139b-bd0b-40f5-93c2-877e1b14b24a

Chicago Manual of Style (16th Edition):

van Lohuijzen, Michiel (author). “Towards incremental kinesthetic teaching of bipedal walking.” 2017. Masters Thesis, Delft University of Technology. Accessed March 05, 2021. http://resolver.tudelft.nl/uuid:08c3139b-bd0b-40f5-93c2-877e1b14b24a.

MLA Handbook (7th Edition):

van Lohuijzen, Michiel (author). “Towards incremental kinesthetic teaching of bipedal walking.” 2017. Web. 05 Mar 2021.

Vancouver:

van Lohuijzen M(. Towards incremental kinesthetic teaching of bipedal walking. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 05]. Available from: http://resolver.tudelft.nl/uuid:08c3139b-bd0b-40f5-93c2-877e1b14b24a.

Council of Science Editors:

van Lohuijzen M(. Towards incremental kinesthetic teaching of bipedal walking. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:08c3139b-bd0b-40f5-93c2-877e1b14b24a


Robert Gordon University

21. Hussein, Ahmed. Deep learning based approaches for imitation learning.

Degree: PhD, 2018, Robert Gordon University

Imitation learning refers to an agent's ability to mimic a desired behaviour by learning from observations. The field is rapidly gaining attention due to recent… (more)

Subjects/Keywords: 006.3; Imitation learning; Intelligent applications; Deep learning methods; Learning; Demonstrations; Convolutional neural networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hussein, A. (2018). Deep learning based approaches for imitation learning. (Doctoral Dissertation). Robert Gordon University. Retrieved from https://rgu-repository.worktribe.com/output/248962 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758181

Chicago Manual of Style (16th Edition):

Hussein, Ahmed. “Deep learning based approaches for imitation learning.” 2018. Doctoral Dissertation, Robert Gordon University. Accessed March 05, 2021. https://rgu-repository.worktribe.com/output/248962 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758181.

MLA Handbook (7th Edition):

Hussein, Ahmed. “Deep learning based approaches for imitation learning.” 2018. Web. 05 Mar 2021.

Vancouver:

Hussein A. Deep learning based approaches for imitation learning. [Internet] [Doctoral dissertation]. Robert Gordon University; 2018. [cited 2021 Mar 05]. Available from: https://rgu-repository.worktribe.com/output/248962 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758181.

Council of Science Editors:

Hussein A. Deep learning based approaches for imitation learning. [Doctoral Dissertation]. Robert Gordon University; 2018. Available from: https://rgu-repository.worktribe.com/output/248962 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758181


Rice University

22. Medini, Tharun. Enhancing Exploration in Reinforcement Learning through Multi-Step Actions.

Degree: MS, Electrical & Computer Eng., 2020, Rice University

 The paradigm of Reinforcement Learning (RL) has been plagued by slow and uncertain training owing to the poor exploration in existing techniques. This can be… (more)

Subjects/Keywords: Reinforcement Learning; Imitation Learning; Machine Learning; ATARI; DeepMind; A3C; GA3C; Actor Critic

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Medini, T. (2020). Enhancing Exploration in Reinforcement Learning through Multi-Step Actions. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/109644

Chicago Manual of Style (16th Edition):

Medini, Tharun. “Enhancing Exploration in Reinforcement Learning through Multi-Step Actions.” 2020. Masters Thesis, Rice University. Accessed March 05, 2021. http://hdl.handle.net/1911/109644.

MLA Handbook (7th Edition):

Medini, Tharun. “Enhancing Exploration in Reinforcement Learning through Multi-Step Actions.” 2020. Web. 05 Mar 2021.

Vancouver:

Medini T. Enhancing Exploration in Reinforcement Learning through Multi-Step Actions. [Internet] [Masters thesis]. Rice University; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1911/109644.

Council of Science Editors:

Medini T. Enhancing Exploration in Reinforcement Learning through Multi-Step Actions. [Masters Thesis]. Rice University; 2020. Available from: http://hdl.handle.net/1911/109644


NSYSU

23. Yang, Qiao-Han. Posture Imitation and Balance Learning for Humanoid Robots.

Degree: Master, Electrical Engineering, 2015, NSYSU

 In the recent years, the research of the interaction between human and humanoid robot becomes a popular topic. As the level of difficulty of the… (more)

Subjects/Keywords: Humanoid Robot; Reinforcement Learning; Key Posture; Posture Imitation; Posture Balance

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, Q. (2015). Posture Imitation and Balance Learning for Humanoid Robots. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1009115-173423

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yang, Qiao-Han. “Posture Imitation and Balance Learning for Humanoid Robots.” 2015. Thesis, NSYSU. Accessed March 05, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1009115-173423.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yang, Qiao-Han. “Posture Imitation and Balance Learning for Humanoid Robots.” 2015. Web. 05 Mar 2021.

Vancouver:

Yang Q. Posture Imitation and Balance Learning for Humanoid Robots. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Mar 05]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1009115-173423.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang Q. Posture Imitation and Balance Learning for Humanoid Robots. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1009115-173423

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universiteit Utrecht

24. Asten, T. Wisdom through reflection: the mirror neuron system and its role in learning.

Degree: 2011, Universiteit Utrecht

 Since their discovery in monkeys some seventeen years ago, mirror neurons have been the focus of an extensive debate. These neurons are active both when… (more)

Subjects/Keywords: mirror neuron system; learning; imitation; Broca’s area; brain imaging; plasticity; cognition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Asten, T. (2011). Wisdom through reflection: the mirror neuron system and its role in learning. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/193269

Chicago Manual of Style (16th Edition):

Asten, T. “Wisdom through reflection: the mirror neuron system and its role in learning.” 2011. Masters Thesis, Universiteit Utrecht. Accessed March 05, 2021. http://dspace.library.uu.nl:8080/handle/1874/193269.

MLA Handbook (7th Edition):

Asten, T. “Wisdom through reflection: the mirror neuron system and its role in learning.” 2011. Web. 05 Mar 2021.

Vancouver:

Asten T. Wisdom through reflection: the mirror neuron system and its role in learning. [Internet] [Masters thesis]. Universiteit Utrecht; 2011. [cited 2021 Mar 05]. Available from: http://dspace.library.uu.nl:8080/handle/1874/193269.

Council of Science Editors:

Asten T. Wisdom through reflection: the mirror neuron system and its role in learning. [Masters Thesis]. Universiteit Utrecht; 2011. Available from: http://dspace.library.uu.nl:8080/handle/1874/193269


University of Arizona

25. Klauck, Kenneth Aloysius, 1936-. The effect of model reinforcement on imitation .

Degree: 1966, University of Arizona

Subjects/Keywords: Imitation.; Learning, Psychology of.

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APA (6th Edition):

Klauck, Kenneth Aloysius, 1. (1966). The effect of model reinforcement on imitation . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/317946

Chicago Manual of Style (16th Edition):

Klauck, Kenneth Aloysius, 1936-. “The effect of model reinforcement on imitation .” 1966. Masters Thesis, University of Arizona. Accessed March 05, 2021. http://hdl.handle.net/10150/317946.

MLA Handbook (7th Edition):

Klauck, Kenneth Aloysius, 1936-. “The effect of model reinforcement on imitation .” 1966. Web. 05 Mar 2021.

Vancouver:

Klauck, Kenneth Aloysius 1. The effect of model reinforcement on imitation . [Internet] [Masters thesis]. University of Arizona; 1966. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10150/317946.

Council of Science Editors:

Klauck, Kenneth Aloysius 1. The effect of model reinforcement on imitation . [Masters Thesis]. University of Arizona; 1966. Available from: http://hdl.handle.net/10150/317946


University of Arizona

26. Hanson, Richard W., 1944-. TEMPORAL FACTORS AND RETEST EXPECTATIONS IN AN OBSERVATIONALLY ACQUIRED SIMPLE CONCEPT .

Degree: 1972, University of Arizona

Subjects/Keywords: Concept learning.; Observation (Psychology); Imitation.

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APA (6th Edition):

Hanson, Richard W., 1. (1972). TEMPORAL FACTORS AND RETEST EXPECTATIONS IN AN OBSERVATIONALLY ACQUIRED SIMPLE CONCEPT . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/287957

Chicago Manual of Style (16th Edition):

Hanson, Richard W., 1944-. “TEMPORAL FACTORS AND RETEST EXPECTATIONS IN AN OBSERVATIONALLY ACQUIRED SIMPLE CONCEPT .” 1972. Doctoral Dissertation, University of Arizona. Accessed March 05, 2021. http://hdl.handle.net/10150/287957.

MLA Handbook (7th Edition):

Hanson, Richard W., 1944-. “TEMPORAL FACTORS AND RETEST EXPECTATIONS IN AN OBSERVATIONALLY ACQUIRED SIMPLE CONCEPT .” 1972. Web. 05 Mar 2021.

Vancouver:

Hanson, Richard W. 1. TEMPORAL FACTORS AND RETEST EXPECTATIONS IN AN OBSERVATIONALLY ACQUIRED SIMPLE CONCEPT . [Internet] [Doctoral dissertation]. University of Arizona; 1972. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10150/287957.

Council of Science Editors:

Hanson, Richard W. 1. TEMPORAL FACTORS AND RETEST EXPECTATIONS IN AN OBSERVATIONALLY ACQUIRED SIMPLE CONCEPT . [Doctoral Dissertation]. University of Arizona; 1972. Available from: http://hdl.handle.net/10150/287957


University of Arizona

27. Jeske, Patrick John. THE EFFECTS OF MODELING, IMITATIVE PERFORMANCE, AND MODELING FEEDBACK ON HIERARCHICAL SERIATION LEARNING .

Degree: 1978, University of Arizona

Subjects/Keywords: Learning, Psychology of.; Imitation.

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APA (6th Edition):

Jeske, P. J. (1978). THE EFFECTS OF MODELING, IMITATIVE PERFORMANCE, AND MODELING FEEDBACK ON HIERARCHICAL SERIATION LEARNING . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/298727

Chicago Manual of Style (16th Edition):

Jeske, Patrick John. “THE EFFECTS OF MODELING, IMITATIVE PERFORMANCE, AND MODELING FEEDBACK ON HIERARCHICAL SERIATION LEARNING .” 1978. Doctoral Dissertation, University of Arizona. Accessed March 05, 2021. http://hdl.handle.net/10150/298727.

MLA Handbook (7th Edition):

Jeske, Patrick John. “THE EFFECTS OF MODELING, IMITATIVE PERFORMANCE, AND MODELING FEEDBACK ON HIERARCHICAL SERIATION LEARNING .” 1978. Web. 05 Mar 2021.

Vancouver:

Jeske PJ. THE EFFECTS OF MODELING, IMITATIVE PERFORMANCE, AND MODELING FEEDBACK ON HIERARCHICAL SERIATION LEARNING . [Internet] [Doctoral dissertation]. University of Arizona; 1978. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/10150/298727.

Council of Science Editors:

Jeske PJ. THE EFFECTS OF MODELING, IMITATIVE PERFORMANCE, AND MODELING FEEDBACK ON HIERARCHICAL SERIATION LEARNING . [Doctoral Dissertation]. University of Arizona; 1978. Available from: http://hdl.handle.net/10150/298727


Georgia State University

28. Donohue, Meghan. Learning to Repair Transgressions: Toddlers' Social Learning of a Reparative Prosocial Act.

Degree: MA, Psychology, 2015, Georgia State University

  This study investigated children's social learning of prosocial behaviors in a transgressor context. Two-to three-year-olds (24-47 months, N = 54) saw videos of an… (more)

Subjects/Keywords: Prosocial behaviors; Reparation; Social learning; Imitation; Goal emulation; Transgressor context

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APA (6th Edition):

Donohue, M. (2015). Learning to Repair Transgressions: Toddlers' Social Learning of a Reparative Prosocial Act. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/psych_theses/141

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Donohue, Meghan. “Learning to Repair Transgressions: Toddlers' Social Learning of a Reparative Prosocial Act.” 2015. Thesis, Georgia State University. Accessed March 05, 2021. https://scholarworks.gsu.edu/psych_theses/141.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Donohue, Meghan. “Learning to Repair Transgressions: Toddlers' Social Learning of a Reparative Prosocial Act.” 2015. Web. 05 Mar 2021.

Vancouver:

Donohue M. Learning to Repair Transgressions: Toddlers' Social Learning of a Reparative Prosocial Act. [Internet] [Thesis]. Georgia State University; 2015. [cited 2021 Mar 05]. Available from: https://scholarworks.gsu.edu/psych_theses/141.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Donohue M. Learning to Repair Transgressions: Toddlers' Social Learning of a Reparative Prosocial Act. [Thesis]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/psych_theses/141

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Montana Tech

29. Tibbitts, Stephen Ted. THE EFFECTS OF EXPECTANCY AND INCONSISTENT VICARIOUS CONSEQUENCES ON THE ACQUISITION AND PERFORMANCE OF IMITATIVE RESPONSES.

Degree: PhD, 1974, Montana Tech

Subjects/Keywords: Imitation.; Learning; Psychology of.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tibbitts, S. T. (1974). THE EFFECTS OF EXPECTANCY AND INCONSISTENT VICARIOUS CONSEQUENCES ON THE ACQUISITION AND PERFORMANCE OF IMITATIVE RESPONSES. (Doctoral Dissertation). Montana Tech. Retrieved from https://scholarworks.umt.edu/etd/9863

Chicago Manual of Style (16th Edition):

Tibbitts, Stephen Ted. “THE EFFECTS OF EXPECTANCY AND INCONSISTENT VICARIOUS CONSEQUENCES ON THE ACQUISITION AND PERFORMANCE OF IMITATIVE RESPONSES.” 1974. Doctoral Dissertation, Montana Tech. Accessed March 05, 2021. https://scholarworks.umt.edu/etd/9863.

MLA Handbook (7th Edition):

Tibbitts, Stephen Ted. “THE EFFECTS OF EXPECTANCY AND INCONSISTENT VICARIOUS CONSEQUENCES ON THE ACQUISITION AND PERFORMANCE OF IMITATIVE RESPONSES.” 1974. Web. 05 Mar 2021.

Vancouver:

Tibbitts ST. THE EFFECTS OF EXPECTANCY AND INCONSISTENT VICARIOUS CONSEQUENCES ON THE ACQUISITION AND PERFORMANCE OF IMITATIVE RESPONSES. [Internet] [Doctoral dissertation]. Montana Tech; 1974. [cited 2021 Mar 05]. Available from: https://scholarworks.umt.edu/etd/9863.

Council of Science Editors:

Tibbitts ST. THE EFFECTS OF EXPECTANCY AND INCONSISTENT VICARIOUS CONSEQUENCES ON THE ACQUISITION AND PERFORMANCE OF IMITATIVE RESPONSES. [Doctoral Dissertation]. Montana Tech; 1974. Available from: https://scholarworks.umt.edu/etd/9863


Utah State University

30. Shea, Kerry A. Evaluation of a Computer-Based Observer-Effect Training on Mothers' Vocal Imitation of Their Infant.

Degree: PhD, Special Education and Rehabilitation, 2019, Utah State University

  Infants begin to learn important skills, such as contingency learning, social referencing, and joint attention through everyday interactions with their environment. When infants learn… (more)

Subjects/Keywords: contingency learning; caregiver responsiveness; observer effect; vocal imitation; Disability Studies

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shea, K. A. (2019). Evaluation of a Computer-Based Observer-Effect Training on Mothers' Vocal Imitation of Their Infant. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7694

Chicago Manual of Style (16th Edition):

Shea, Kerry A. “Evaluation of a Computer-Based Observer-Effect Training on Mothers' Vocal Imitation of Their Infant.” 2019. Doctoral Dissertation, Utah State University. Accessed March 05, 2021. https://digitalcommons.usu.edu/etd/7694.

MLA Handbook (7th Edition):

Shea, Kerry A. “Evaluation of a Computer-Based Observer-Effect Training on Mothers' Vocal Imitation of Their Infant.” 2019. Web. 05 Mar 2021.

Vancouver:

Shea KA. Evaluation of a Computer-Based Observer-Effect Training on Mothers' Vocal Imitation of Their Infant. [Internet] [Doctoral dissertation]. Utah State University; 2019. [cited 2021 Mar 05]. Available from: https://digitalcommons.usu.edu/etd/7694.

Council of Science Editors:

Shea KA. Evaluation of a Computer-Based Observer-Effect Training on Mothers' Vocal Imitation of Their Infant. [Doctoral Dissertation]. Utah State University; 2019. Available from: https://digitalcommons.usu.edu/etd/7694

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