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1.
The Effects of Reward on Attentional Selection
by Lee, Jeongmi, Ph.D.  The George Washington University. 2013: 120 pages; 3565173.
2.
Learning Neural Representations that Support Efficient Reinforcement Learning
by Stachenfeld, Kimberly, Ph.D.  Princeton University. 2018: 155 pages; 10824319.
3.
Learning temporal representations in cortical networks through reward dependent expression of synaptic plasticity
by Gavornik, Jeffrey Peter, Ph.D.  The University of Texas at Austin. 2009: 121 pages; 3360319.
4.
Application of temporal difference learning to the game of Snake
by Lockhart, Christopher, M.Eng.  University of Louisville. 2010: 96 pages; 1485160.
5.
Genomic Signal Processing and Regulatory Networks: Representation, Dynamics and Control
by Wang, Liming, Ph.D.  University of Illinois at Chicago. 2011: 102 pages; 3551305.
6.
Autonomous qualitative learning of distinctions and actions in a developing agent
by Mugan, Jonathan William, Ph.D.  The University of Texas at Austin. 2010: 189 pages; 3428996.
7.
Belief based reinforcement learning for data fusion
by Lollett, Carlos, Ph.D.  State University of New York at Buffalo. 2009: 184 pages; 3342148.
8.
Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
10.
Neuronal representations underlying probabilistic sequence discrimination
by Kiggins, Justin, Ph.D.  University of California, San Diego. 2016: 107 pages; 10238991.
11.
The neural basis of human reinforcement learning
by Rutledge, Robb B., Ph.D.  New York University. 2010: 259 pages; 3428046.
12.
The Role of Cortical and Subcortical Auditory Pathways in Sound-Driven Behavior
by Ponvert, Nicholas Donaldson, Ph.D.  University of Oregon. 2019: 116 pages; 13899214.
13.
15.
First order decision diagrams for decision theoretic planning
by Joshi, Saket, Ph.D.  Tufts University. 2010: 190 pages; 3427479.
16.
Planning and motivation: Distinguishing between executive and emotional control
by Somlo, David Nicholas, M.A.  California State University, Long Beach. 2009: 48 pages; 1481595.
17.
Novel patterns of activity in the hippocampus
by Kay, Kenneth, Ph.D.  University of California, San Francisco. 2016: 130 pages; 10133436.
18.
Deep Networks for Forward Prediction and Planning
by Henaff, Mikael, Ph.D.  New York University. 2018: 164 pages; 10928805.
19.
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.
20.
Towards a better understanding of the reward system in autism spectrum disorders: empirical tests of the social motivation hypothesis
by Stavropoulos, Katherine Kuhl Meltzoff, Ph.D.  University of California, San Diego. 2014: 80 pages; 3636663.
21.
Understanding the neural and cognitive mechanisms of decision making in alcohol dependence
by Claus, Eric Daniel, Ph.D.  University of Colorado at Boulder. 2008: 140 pages; 3337183.
25.
Reinforcement Learning in Structured and Partially Observable Environments
by Azizzadenesheli, Kamyar, Ph.D.  University of California, Irvine. 2019: 170 pages; 13896671.
26.
High-throughput Visual Knowledge Analysis and Retrieval in Big Data Ecosystems
by Cao, Hongfei, Ph.D.  University of Missouri - Columbia. 2015: 121 pages; 13877134.
28.
Priority in spatial working memory
by Klyszejko, Zuzanna, Ph.D.  New York University. 2017: 85 pages; 10246753.
29.
Decision-making and motor control: computational models of human sensorimotor processing
by Huang, He, Ph.D.  University of California, San Diego. 2014: 147 pages; 3673994.
30.
FMRI investigation of intertemporal discounting in schizophrenia
by Avsar, Kathy B., Ph.D.  The University of Alabama at Birmingham. 2012: 165 pages; 3512218.
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