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You searched for +publisher:"University of Southern California" +contributor:("Jain, Rahul"). Showing records 1 – 11 of 11 total matches.

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University of Southern California

1. Koenig, Nathan. Robot life-long task learning from human demonstrations: a Bayesian approach.

Degree: PhD, Computer Science (Robotics and Automation), 2013, University of Southern California

 Programming a robot to act intelligently is a challenging endeavor that is beyond the skill level of most people. Trained roboticists generally program robots for… (more)

Subjects/Keywords: robotics; life-long learning; influence diagrams; bayesian networks; teaching; learning from demonstration

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APA (6th Edition):

Koenig, N. (2013). Robot life-long task learning from human demonstrations: a Bayesian approach. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/222240/rec/5611

Chicago Manual of Style (16th Edition):

Koenig, Nathan. “Robot life-long task learning from human demonstrations: a Bayesian approach.” 2013. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/222240/rec/5611.

MLA Handbook (7th Edition):

Koenig, Nathan. “Robot life-long task learning from human demonstrations: a Bayesian approach.” 2013. Web. 19 Jan 2021.

Vancouver:

Koenig N. Robot life-long task learning from human demonstrations: a Bayesian approach. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/222240/rec/5611.

Council of Science Editors:

Koenig N. Robot life-long task learning from human demonstrations: a Bayesian approach. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/222240/rec/5611


University of Southern California

2. Kalathil, Dileep Manisseri. Empirical methods in control and optimization.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 This dissertation addresses some problems in the area of learning, optimization and decision making in stochastic systems using empirical methods. ❧ First part of the… (more)

Subjects/Keywords: online optimization; multi-armed bandits; MDP; approachability; spectrum sharing

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APA (6th Edition):

Kalathil, D. M. (2014). Empirical methods in control and optimization. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489169/rec/2323

Chicago Manual of Style (16th Edition):

Kalathil, Dileep Manisseri. “Empirical methods in control and optimization.” 2014. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489169/rec/2323.

MLA Handbook (7th Edition):

Kalathil, Dileep Manisseri. “Empirical methods in control and optimization.” 2014. Web. 19 Jan 2021.

Vancouver:

Kalathil DM. Empirical methods in control and optimization. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489169/rec/2323.

Council of Science Editors:

Kalathil DM. Empirical methods in control and optimization. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489169/rec/2323


University of Southern California

3. Tang, Wenyuan. The smart grid network: pricing, markets and incentives.

Degree: PhD, Electrical Engineering, 2015, University of Southern California

 The electric power system is regarded as the largest and most complex machine ever built, in which supply and demand must be balanced on a… (more)

Subjects/Keywords: smart grid; electricity market; economic dispatch; renewable energy; demand response

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APA (6th Edition):

Tang, W. (2015). The smart grid network: pricing, markets and incentives. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/604649/rec/7306

Chicago Manual of Style (16th Edition):

Tang, Wenyuan. “The smart grid network: pricing, markets and incentives.” 2015. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/604649/rec/7306.

MLA Handbook (7th Edition):

Tang, Wenyuan. “The smart grid network: pricing, markets and incentives.” 2015. Web. 19 Jan 2021.

Vancouver:

Tang W. The smart grid network: pricing, markets and incentives. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/604649/rec/7306.

Council of Science Editors:

Tang W. The smart grid network: pricing, markets and incentives. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/604649/rec/7306


University of Southern California

4. Yerramalli, Srinivas. Communication and cooperation in underwater acoustic networks.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 In this thesis, we present a study of several problems related to underwater point to point communications and network formation. We explore techniques to improve… (more)

Subjects/Keywords: underwater communications; wideband communications; OFDM; Doppler; time scale; partial FFT; estimator analysis; resampling; channel estimation; cooperation; game theory; wireless networks; partition form games; interference modeling; multiple access channels; broadcast channels; duality; Generalized Nash Equilibrium Problems

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APA (6th Edition):

Yerramalli, S. (2013). Communication and cooperation in underwater acoustic networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/222584/rec/1468

Chicago Manual of Style (16th Edition):

Yerramalli, Srinivas. “Communication and cooperation in underwater acoustic networks.” 2013. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/222584/rec/1468.

MLA Handbook (7th Edition):

Yerramalli, Srinivas. “Communication and cooperation in underwater acoustic networks.” 2013. Web. 19 Jan 2021.

Vancouver:

Yerramalli S. Communication and cooperation in underwater acoustic networks. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/222584/rec/1468.

Council of Science Editors:

Yerramalli S. Communication and cooperation in underwater acoustic networks. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/222584/rec/1468


University of Southern California

5. Zois, Daphney-Stavroula. Active state tracking in heterogeneous sensor networks.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 The proliferation of heterogeneous devices that integrate a wide range of sensing and networking features in conjunction with advances in wireless communications has, now more… (more)

Subjects/Keywords: active classification; controlled sensing for inference; stochastic dynamical systems; partially observable Markov decision processes; POMDP; optimal control policy; sensing strategy; approximation algorithms; Markov chain; heterogeneous sensing modes; Kalman filtering; Kalman smoothing; innovations theory; Blackwell ordering; sensor networks; Fisher metric; Weiss-Weinstein lower bound; body area networks; energy efficiency

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

APA (6th Edition):

Zois, D. (2014). Active state tracking in heterogeneous sensor networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446569/rec/501

Chicago Manual of Style (16th Edition):

Zois, Daphney-Stavroula. “Active state tracking in heterogeneous sensor networks.” 2014. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446569/rec/501.

MLA Handbook (7th Edition):

Zois, Daphney-Stavroula. “Active state tracking in heterogeneous sensor networks.” 2014. Web. 19 Jan 2021.

Vancouver:

Zois D. Active state tracking in heterogeneous sensor networks. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446569/rec/501.

Council of Science Editors:

Zois D. Active state tracking in heterogeneous sensor networks. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/446569/rec/501


University of Southern California

6. Gai, Yi. Online learning algorithms for network optimization with unknown variables.

Degree: PhD, Electrical Engineering, 2012, University of Southern California

 The formulations and theories of multi-armed bandit (MAB) problems provide fundamental tools for optimal sequential decision making and learning in uncertain environments. They have been… (more)

Subjects/Keywords: online learning; network optimization; algorithm design and analysis; machine learning

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APA (6th Edition):

Gai, Y. (2012). Online learning algorithms for network optimization with unknown variables. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/120026/rec/4577

Chicago Manual of Style (16th Edition):

Gai, Yi. “Online learning algorithms for network optimization with unknown variables.” 2012. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/120026/rec/4577.

MLA Handbook (7th Edition):

Gai, Yi. “Online learning algorithms for network optimization with unknown variables.” 2012. Web. 19 Jan 2021.

Vancouver:

Gai Y. Online learning algorithms for network optimization with unknown variables. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/120026/rec/4577.

Council of Science Editors:

Gai Y. Online learning algorithms for network optimization with unknown variables. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/120026/rec/4577


University of Southern California

7. Shieh, Eric A. Not a Lone Ranger: unleashing defender teamwork in security games.

Degree: PhD, Computer Science, 2015, University of Southern California

 Game theory has become an important research area in handling complex security resource allocation and patrolling problems. Stackelberg Security Games (SSGs) have been used in… (more)

Subjects/Keywords: game theory; security games; Dec-MDP; teamwork

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APA (6th Edition):

Shieh, E. A. (2015). Not a Lone Ranger: unleashing defender teamwork in security games. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/547610/rec/4464

Chicago Manual of Style (16th Edition):

Shieh, Eric A. “Not a Lone Ranger: unleashing defender teamwork in security games.” 2015. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/547610/rec/4464.

MLA Handbook (7th Edition):

Shieh, Eric A. “Not a Lone Ranger: unleashing defender teamwork in security games.” 2015. Web. 19 Jan 2021.

Vancouver:

Shieh EA. Not a Lone Ranger: unleashing defender teamwork in security games. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/547610/rec/4464.

Council of Science Editors:

Shieh EA. Not a Lone Ranger: unleashing defender teamwork in security games. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/547610/rec/4464


University of Southern California

8. Williams, Ryan K. Interaction and topology in distributed multi-agent coordination.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 Interconnected systems have become the recent focus of intense investigation, particularly in the context of autonomous coordination, yielding fundamental advantages in adaptability, scalability, and efficiency… (more)

Subjects/Keywords: distributed robot systems; dynamic networks; graph connectivity; graph rigidity; multi‐robot coordination; sensor networks

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APA (6th Edition):

Williams, R. K. (2014). Interaction and topology in distributed multi-agent coordination. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/432814/rec/3570

Chicago Manual of Style (16th Edition):

Williams, Ryan K. “Interaction and topology in distributed multi-agent coordination.” 2014. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/432814/rec/3570.

MLA Handbook (7th Edition):

Williams, Ryan K. “Interaction and topology in distributed multi-agent coordination.” 2014. Web. 19 Jan 2021.

Vancouver:

Williams RK. Interaction and topology in distributed multi-agent coordination. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/432814/rec/3570.

Council of Science Editors:

Williams RK. Interaction and topology in distributed multi-agent coordination. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/432814/rec/3570


University of Southern California

9. Li, Chih-ping. Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 This dissertation addresses several optimal stochastic scheduling problems that arise in partially observable wireless networks and multi-class queueing systems. They are single-hop network control problems… (more)

Subjects/Keywords: stochastic network optimization; queueing theory

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APA (6th Edition):

Li, C. (2011). Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6078

Chicago Manual of Style (16th Edition):

Li, Chih-ping. “Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay.” 2011. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6078.

MLA Handbook (7th Edition):

Li, Chih-ping. “Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay.” 2011. Web. 19 Jan 2021.

Vancouver:

Li C. Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6078.

Council of Science Editors:

Li C. Stochastic optimization over parallel queues: channel-blind scheduling, restless bandit, and optimal delay. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/159793/rec/6078


University of Southern California

10. Salek, Mahyar. Computational and economic aspects of procurement and sale.

Degree: PhD, Computer Science, 2011, University of Southern California

 Theoretical computer science has introduced new paradigms to game theory and mechanism design. First, it has motivated the design of mechanisms in information-poor environments (prior-free… (more)

Subjects/Keywords: algorithmic game theory; mechanism design; procurement; frugality; truthfulness; false-name; spectral; externality; microeconomics; algorithms.

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APA (6th Edition):

Salek, M. (2011). Computational and economic aspects of procurement and sale. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175580/rec/1541

Chicago Manual of Style (16th Edition):

Salek, Mahyar. “Computational and economic aspects of procurement and sale.” 2011. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175580/rec/1541.

MLA Handbook (7th Edition):

Salek, Mahyar. “Computational and economic aspects of procurement and sale.” 2011. Web. 19 Jan 2021.

Vancouver:

Salek M. Computational and economic aspects of procurement and sale. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175580/rec/1541.

Council of Science Editors:

Salek M. Computational and economic aspects of procurement and sale. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175580/rec/1541


University of Southern California

11. Huang, Longbo. Deterministic mathematical optimization in stochastic network control.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 In this thesis, we extend the recently developed Lyapunov optimization technique (also known as Max-Weight or Backpressure) for stochastic queueing networks in two important directions:… (more)

Subjects/Keywords: stochastic network control; network delay; queueing; Lyapunov analysis; processing networks; energy harvesting networks

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

APA (6th Edition):

Huang, L. (2011). Deterministic mathematical optimization in stochastic network control. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/620567/rec/1900

Chicago Manual of Style (16th Edition):

Huang, Longbo. “Deterministic mathematical optimization in stochastic network control.” 2011. Doctoral Dissertation, University of Southern California. Accessed January 19, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/620567/rec/1900.

MLA Handbook (7th Edition):

Huang, Longbo. “Deterministic mathematical optimization in stochastic network control.” 2011. Web. 19 Jan 2021.

Vancouver:

Huang L. Deterministic mathematical optimization in stochastic network control. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/620567/rec/1900.

Council of Science Editors:

Huang L. Deterministic mathematical optimization in stochastic network control. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/620567/rec/1900

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