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1.
Particle filtering for stochastic control and global optimization
by Zhou, Enlu, Ph.D.  University of Maryland, College Park. 2009: 138 pages; 3372999.
2.
Planning under uncertainty: From informative path planning to partially observable semi-MDPs
by Wei, Lim Zhan, Ph.D.  National University of Singapore (Singapore). 2015: 148 pages; 10006047.
3.
Active Collaborative Planning and Sensing in Human-Robot Teams
by Burks, Charles Luke, Ph.D.Eng.  University of Colorado at Boulder. 2020: 181 pages; 28031373.
4.
Reinforcement Learning in Structured and Partially Observable Environments
by Azizzadenesheli, Kamyar, Ph.D.  University of California, Irvine. 2019: 170 pages; 13896671.
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Communicating Plans in Ad Hoc Multiagent Teams
by Santarra, Trevor, Ph.D.  University of California, Santa Cruz. 2019: 190 pages; 13809871.
7.
Cross-Layer Design for Secure and Resilient Control of Cyber-Physical Systems in Smart Cities
by Xu, Zhiheng, Ph.D.  New York University Tandon School of Engineering. 2018: 225 pages; 10840627.
8.
Doxastic Attitudes for Reasoning over Multi-Agent Domains
by Wright, Benjamin, Ph.D.  New Mexico State University. 2018: 154 pages; 13420554.
9.
Supportive Behaviors for Human-Robot Teaming
by Hayes, Bradley, Ph.D.  Yale University. 2016: 178 pages; 10160856.
10.
A game -theoretic model of grounding for referential communication tasks
by Thompson, William, Ph.D.  Northwestern University. 2009: 174 pages; 3386515.
11.
Efficient and Asymptotically Optimal Kinodynamic Motion Planning
by Littlefield, Zakary, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2020: 132 pages; 27738760.
12.
A Reinforcement Learning Approach to Sequential Acceptance Sampling as a Critical Success Factor for Lean Six Sigma
by Khalil, Hani Abdulwahab, Ph.D.  The University of Wisconsin - Milwaukee. 2020: 158 pages; 27736208.
14.
Reinforcement Learning and Optimal Control in Complex Social Systems
by Yang, Fan, Ph.D.  State University of New York at Buffalo. 2020: 108 pages; 28087042.
15.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
16.
Learning to Manipulate Novel Objects for Assistive Robots
by Sung, Jaeyong, Ph.D.  Cornell University. 2017: 190 pages; 10258261.
18.
Long-Term Tracking by Decision Making
by Supancic, James, III, Ph.D.  University of California, Irvine. 2017: 193 pages; 10286470.
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Interactive Learning for Sequential Decisions and Predictions
by Ross, Stephane, Ph.D.  Carnegie Mellon University. 2013: 294 pages; 3575525.
21.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
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Leveraging Structure for Learning Robot Control and Reactive Planning
by Sutanto, Giovanni, Ph.D.  University of Southern California. 2020: 151 pages; 28086666.
25.
Learning Neural Representations that Support Efficient Reinforcement Learning
by Stachenfeld, Kimberly, Ph.D.  Princeton University. 2018: 155 pages; 10824319.
26.
Planning for a Small Team of Heterogeneous Robots: from Collaborative Exploration to Collaborative Localization
by Butzke, Jonathan Michael, Ph.D.  Carnegie Mellon University. 2017: 147 pages; 10798588.
27.
Machine learning challenges for automated prompting in smart homes
by Das, Barnan, Ph.D.  Washington State University. 2014: 236 pages; 3640007.
29.
Socially Capable Coversational Agents for Multi-Party Interactive Situations
by Kumar, Rohit, Ph.D.  Carnegie Mellon University. 2011: 166 pages; 3528729.
30.
Communication and estimation in noisy networks
by Vedantam, Satish, Ph.D.  University of Southern California. 2009: 168 pages; 3355383.
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