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You searched for +publisher:"Lehigh University" +contributor:("Munoz-Avila, Hector"). Showing records 1 – 7 of 7 total matches.

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Lehigh University

1. Dannenhauer, Dustin. Self Monitoring Goal Driven Autonomy Agents.

Degree: PhD, Computer Science, 2017, Lehigh University

 The growing abundance of autonomous systems is driving the need for robust performance. Most current systems are not fully autonomous and often fail when placed… (more)

Subjects/Keywords: Autonomy; Cognitive Architecture; Expectations; Goal Reasoning; Metareasoning; Planning; Computer Sciences; Physical Sciences and Mathematics

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

APA (6th Edition):

Dannenhauer, D. (2017). Self Monitoring Goal Driven Autonomy Agents. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2564

Chicago Manual of Style (16th Edition):

Dannenhauer, Dustin. “Self Monitoring Goal Driven Autonomy Agents.” 2017. Doctoral Dissertation, Lehigh University. Accessed October 20, 2019. https://preserve.lehigh.edu/etd/2564.

MLA Handbook (7th Edition):

Dannenhauer, Dustin. “Self Monitoring Goal Driven Autonomy Agents.” 2017. Web. 20 Oct 2019.

Vancouver:

Dannenhauer D. Self Monitoring Goal Driven Autonomy Agents. [Internet] [Doctoral dissertation]. Lehigh University; 2017. [cited 2019 Oct 20]. Available from: https://preserve.lehigh.edu/etd/2564.

Council of Science Editors:

Dannenhauer D. Self Monitoring Goal Driven Autonomy Agents. [Doctoral Dissertation]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2564


Lehigh University

2. Gopalakrishnan, Sriram. Learning Hierarchical Task Networks Using Semantic Word Embeddings.

Degree: MS, Computer Science, 2017, Lehigh University

 This thesis describes WORD2HTN, which is a novel and semantic approach for learning hierarchical task networks (HTN) and semantic division of goals from input plan… (more)

Subjects/Keywords: Hierarchical Task Networks; Learning Methods; Planning; Vector Representations; Word Embeddings; Computer Sciences; Physical Sciences and Mathematics

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

APA (6th Edition):

Gopalakrishnan, S. (2017). Learning Hierarchical Task Networks Using Semantic Word Embeddings. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2608

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):

Gopalakrishnan, Sriram. “Learning Hierarchical Task Networks Using Semantic Word Embeddings.” 2017. Thesis, Lehigh University. Accessed October 20, 2019. https://preserve.lehigh.edu/etd/2608.

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

MLA Handbook (7th Edition):

Gopalakrishnan, Sriram. “Learning Hierarchical Task Networks Using Semantic Word Embeddings.” 2017. Web. 20 Oct 2019.

Vancouver:

Gopalakrishnan S. Learning Hierarchical Task Networks Using Semantic Word Embeddings. [Internet] [Thesis]. Lehigh University; 2017. [cited 2019 Oct 20]. Available from: https://preserve.lehigh.edu/etd/2608.

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

Council of Science Editors:

Gopalakrishnan S. Learning Hierarchical Task Networks Using Semantic Word Embeddings. [Thesis]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2608

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


Lehigh University

3. Yao, Jundong. Using Planning Landmarks to Control Camera Movement in DOTA 2 Games.

Degree: MS, Computer Science, 2015, Lehigh University

 This thesis introduces a new method for automatically finding important events from video game replays. We use these events to control the movement of the… (more)

Subjects/Keywords: Dota 2 game; Landmarks; Planning; Computer Sciences; Physical Sciences and Mathematics

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

APA (6th Edition):

Yao, J. (2015). Using Planning Landmarks to Control Camera Movement in DOTA 2 Games. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2895

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):

Yao, Jundong. “Using Planning Landmarks to Control Camera Movement in DOTA 2 Games.” 2015. Thesis, Lehigh University. Accessed October 20, 2019. https://preserve.lehigh.edu/etd/2895.

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

MLA Handbook (7th Edition):

Yao, Jundong. “Using Planning Landmarks to Control Camera Movement in DOTA 2 Games.” 2015. Web. 20 Oct 2019.

Vancouver:

Yao J. Using Planning Landmarks to Control Camera Movement in DOTA 2 Games. [Internet] [Thesis]. Lehigh University; 2015. [cited 2019 Oct 20]. Available from: https://preserve.lehigh.edu/etd/2895.

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

Council of Science Editors:

Yao J. Using Planning Landmarks to Control Camera Movement in DOTA 2 Games. [Thesis]. Lehigh University; 2015. Available from: https://preserve.lehigh.edu/etd/2895

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


Lehigh University

4. Coman, Alexandra. Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning.

Degree: PhD, Computer Science, 2013, Lehigh University

 Planning is a branch of Artificial Intelligence (AI) concerned with projecting courses of actions for executing tasks and reaching goals. AI Planning helps increase the… (more)

Subjects/Keywords: Computer Sciences; Physical Sciences and Mathematics

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

APA (6th Edition):

Coman, A. (2013). Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1459

Chicago Manual of Style (16th Edition):

Coman, Alexandra. “Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning.” 2013. Doctoral Dissertation, Lehigh University. Accessed October 20, 2019. https://preserve.lehigh.edu/etd/1459.

MLA Handbook (7th Edition):

Coman, Alexandra. “Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning.” 2013. Web. 20 Oct 2019.

Vancouver:

Coman A. Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning. [Internet] [Doctoral dissertation]. Lehigh University; 2013. [cited 2019 Oct 20]. Available from: https://preserve.lehigh.edu/etd/1459.

Council of Science Editors:

Coman A. Qualitative and Quantitative Solution Diversity in Heuristic-Search and Case-Based Planning. [Doctoral Dissertation]. Lehigh University; 2013. Available from: https://preserve.lehigh.edu/etd/1459


Lehigh University

5. Phang, Daniel Wei-Shen. Intelligent Camera Control in Game Replays.

Degree: MS, Computer Science, 2014, Lehigh University

 In this thesis, we describe a new method for implementing intelligent automated camera control in spectator games, specifically in replays of the video game Dota… (more)

Subjects/Keywords: camera control; games; machine learning; Computer Sciences; Physical Sciences and Mathematics

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

APA (6th Edition):

Phang, D. W. (2014). Intelligent Camera Control in Game Replays. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1591

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):

Phang, Daniel Wei-Shen. “Intelligent Camera Control in Game Replays.” 2014. Thesis, Lehigh University. Accessed October 20, 2019. https://preserve.lehigh.edu/etd/1591.

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

MLA Handbook (7th Edition):

Phang, Daniel Wei-Shen. “Intelligent Camera Control in Game Replays.” 2014. Web. 20 Oct 2019.

Vancouver:

Phang DW. Intelligent Camera Control in Game Replays. [Internet] [Thesis]. Lehigh University; 2014. [cited 2019 Oct 20]. Available from: https://preserve.lehigh.edu/etd/1591.

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

Council of Science Editors:

Phang DW. Intelligent Camera Control in Game Replays. [Thesis]. Lehigh University; 2014. Available from: https://preserve.lehigh.edu/etd/1591

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

6. Lee-Urban, Stephen Montgomery. Hierarchical Planning Knowledge for Refining Partial-Order Plans.

Degree: PhD, Computer Science, 2012, Lehigh University

Subjects/Keywords: Automated Planning; Domain-configurable knowledge; Partial-order planning; Plan Adaptation; Computer Sciences

Lehigh University is located in Bethlehem captured? One way to do so would be: (in-city… …configuration of a single package that starts at LVI airport and needs to be delivered to Lehigh… …University. Note that because the final location of the package is the only requirement of this… 

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

APA (6th Edition):

Lee-Urban, S. M. (2012). Hierarchical Planning Knowledge for Refining Partial-Order Plans. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1213

Chicago Manual of Style (16th Edition):

Lee-Urban, Stephen Montgomery. “Hierarchical Planning Knowledge for Refining Partial-Order Plans.” 2012. Doctoral Dissertation, Lehigh University. Accessed October 20, 2019. https://preserve.lehigh.edu/etd/1213.

MLA Handbook (7th Edition):

Lee-Urban, Stephen Montgomery. “Hierarchical Planning Knowledge for Refining Partial-Order Plans.” 2012. Web. 20 Oct 2019.

Vancouver:

Lee-Urban SM. Hierarchical Planning Knowledge for Refining Partial-Order Plans. [Internet] [Doctoral dissertation]. Lehigh University; 2012. [cited 2019 Oct 20]. Available from: https://preserve.lehigh.edu/etd/1213.

Council of Science Editors:

Lee-Urban SM. Hierarchical Planning Knowledge for Refining Partial-Order Plans. [Doctoral Dissertation]. Lehigh University; 2012. Available from: https://preserve.lehigh.edu/etd/1213


Lehigh University

7. Hogg, Chad Michael. Learning Hierarchical Task Networks from Traces and Semantically Annotated Tasks.

Degree: PhD, Computer Science, 2011, Lehigh University

Subjects/Keywords: automated planning; machine learning; Computer Sciences

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

APA (6th Edition):

Hogg, C. M. (2011). Learning Hierarchical Task Networks from Traces and Semantically Annotated Tasks. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1235

Chicago Manual of Style (16th Edition):

Hogg, Chad Michael. “Learning Hierarchical Task Networks from Traces and Semantically Annotated Tasks.” 2011. Doctoral Dissertation, Lehigh University. Accessed October 20, 2019. https://preserve.lehigh.edu/etd/1235.

MLA Handbook (7th Edition):

Hogg, Chad Michael. “Learning Hierarchical Task Networks from Traces and Semantically Annotated Tasks.” 2011. Web. 20 Oct 2019.

Vancouver:

Hogg CM. Learning Hierarchical Task Networks from Traces and Semantically Annotated Tasks. [Internet] [Doctoral dissertation]. Lehigh University; 2011. [cited 2019 Oct 20]. Available from: https://preserve.lehigh.edu/etd/1235.

Council of Science Editors:

Hogg CM. Learning Hierarchical Task Networks from Traces and Semantically Annotated Tasks. [Doctoral Dissertation]. Lehigh University; 2011. Available from: https://preserve.lehigh.edu/etd/1235

.