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1.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
3.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
4.
Belief based reinforcement learning for data fusion
by Lollett, Carlos, Ph.D.  State University of New York at Buffalo. 2009: 184 pages; 3342148.
5.
Optimal reservoir operations for riverine water quality improvement: A reinforcement learning strategy
by Rieker, Jeffrey Donald, Ph.D.  Colorado State University. 2011: 251 pages; 3454631.
6.
Multi-tier Internet service management: Statistical learning approaches
by Muppala, Sireesha, Ph.D.  University of Colorado at Colorado Springs. 2013: 167 pages; 3560749.
7.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
8.
The neural basis of human reinforcement learning
by Rutledge, Robb B., Ph.D.  New York University. 2010: 259 pages; 3428046.
9.
Novel Function Approximation Techniques for Large-scale Reinforcement Learning
by Wu, Cheng, Ph.D.  Northeastern University. 2010: 130 pages; 3443846.
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12.
Using Reinforcement Learning in A Simulated Intelligent Tutoring System
by Jasti, Manohar Sai, M.S.  Northern Illinois University. 2019: 54 pages; 13904565.
13.
Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
14.
Tactic-Based Learning for collective learning systems
by Armstrong, Alice, D.Sc.  The George Washington University. 2008: 320 pages; 3304083.
15.
Creative Learning for Intelligent Robots
by Liao, Xiaoqun, Ph.D.  University of Cincinnati. 2006: 295 pages; 10857161.
16.
The influence of parental support on antisocial behavior among sixth through eleventh graders
by Ordonez, Jose, Ph.D.  University of South Florida. 2009: 111 pages; 3420637.
18.
On the relationship between peers and propensity: Examining vulnerability to peer reinforcement
by Thomas, Kyle J., M.A.  University of Maryland, College Park. 2011: 61 pages; 1506546.
20.
Learning Neural Representations that Support Efficient Reinforcement Learning
by Stachenfeld, Kimberly, Ph.D.  Princeton University. 2018: 155 pages; 10824319.
23.
Novice Behavior in a Makerspace: Pragmatic Pathways to Shaping CS Identity
by Davis, Don Gibbs, Ph.D.  The University of Texas at San Antonio. 2017: 291 pages; 10277785.
25.
Utilizing Various Neural Network Architectures to Play a Game Developed for Human Players
by Arender, Blake, M.S.  The University of Mississippi. 2018: 51 pages; 10752390.
27.
A game-theoretic comparison of genetic and model-based agents in learning strategic interactions
by Buntain, Cody, M.S.  The University of Alabama in Huntsville. 2010: 134 pages; 1484940.
28.
Application of temporal difference learning to the game of Snake
by Lockhart, Christopher, M.Eng.  University of Louisville. 2010: 96 pages; 1485160.
29.
Does giving contingent rewards improve training effectiveness and change social networking website behaviors?
by DeYoung, Mindy L., M.S.  California State University, Long Beach. 2016: 96 pages; 10014966.
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