Learning Complementary Multiagent Behaviors: A Case Study
Shivaram Kalyanakrishnan and Peter Stone, 2010
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A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach
Thomas Gabel, Martin Riedmiller, and Florian Trost, 2009
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Simulation-Based Approach to General Game Playing
Hilmar Finnsson and Yngvi Björnsson, 2008
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Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
Arthur Guez, Robert D. Vincent, Massimo Avoli, and Joelle Pineau, 2008
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Model-Based Reinforcement Learning in a Complex Domain
Shivaram Kalyanakrishnan, Peter Stone, and Yaxin Liu, 2008
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Reinforcement learning of motor skills with policy gradients
Jan Peters and Stefan Schaal, 2008
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Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O. Kephart, Charles Lefurgy, David W. Levine, and Freeman Rawson, 2008
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Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
Engin \.Ipek, Onur Mutlu, José and Martínez, and Rich Caruana, 2008
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Learning RoboCup-Keepaway with Kernels
Tobias Jung and Daniel Polani, 2007
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Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study
Shivaram Kalyanakrishnan, Yaxin Liu, and Peter Stone, 2007
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Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
Axel Rottmann, Christian Plagemann, Peter Hilgers, and Wolfram Burgard, 2007
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Reinforcement Learning of Local Shape in the Game of Go
David Silver, Richard S. Sutton, and Martin Müller, 2007
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Learning to Play Using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man
István Szita and András L\Horincz, 2007
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On the use of hybrid reinforcement learning for autonomic resource allocation
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, and Mohamed N. Bennani, 2007
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Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot
Kentarou Hitomi, Tomohiro Shibata, Yutaka Nakamura, and Shin Ishii, 2006
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Quadruped Robot Obstacle Negotiation via Reinforcement Learning
Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Singh, and Andrew Y. Ng, 2006
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Reinforcement learning for optimized trade execution
Yuriy Nevmyvaka, Yi Feng, and Michael Kearns, 2006
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Keepaway Soccer: From Machine Learning Testbed to Benchmark
Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, and Yaxin Liu, 2006
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Learning Tetris using the noisy cross-entropy method
István Szita and András L\Horincz, 2006
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Reinforcement Learning for RoboCup-Soccer Keepaway
Peter Stone, Richard S. Sutton, and Gregory Kuhlmann, 2005
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Machine Learning for Fast Quadrupedal Locomotion
Nate Kohl and Peter Stone, 2004
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Reinforcement learning for sensing strategies
Cody Kwok and Dieter Fox, 2004
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Autonomous Helicopter Flight via Reinforcement Learning
Andrew Y. Ng, H. Jin Kim, Michael I. Jordan, and Shankar Sastry, 2004
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Multi-Agent Patrolling with Reinforcement Learning
Hugo Santana, Geber Ramalho, Vincent Corruble, and Bohdana Ratitch, 2004
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Stochastic policy gradient reinforcement learning on a simple 3D biped
Russ Tedrake, Teresa Weirui Zhang, and H. Sebastian Seung, 2004
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Adaptive Job Routing and Scheduling
Shimon Whiteson and Peter Stone, 2004
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Active Guidance for a Finless Rocket Using Neuroevolution
Faustino J. Gomez and Risto Miikkulainen, 2003
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Deep Blue
Murray Campbell, A. Joseph Hoane Jr., and Feng-hsiung Hsu, 2002
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Multiagent Planning with Factored MDPs
Carlos Guestrin, Daphne Koller, and Ronald Parr, 2001
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Learning to trade via direct reinforcement
John Moody and Matthew Saffell, 2001
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Planning treatment of ischemic heart disease with partially observable Markov decision processes
Milos Hauskrecht and Hamish Fraser, 2000
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Reinforcement Learning for Control of Self-Similar Call Traffic in Broadband Networks
Jakob Carlström and Ernst Nordström, 1999
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Distributed Value Functions
Jeff Schneider, Weng-Keen Wong, Andrew Moore, and Martin Riedmiller, 1999
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Symposium on Applications of Reinforcement Learning: Final Report for NSF Grant IIS-9810208
Pat Langley and Mark Pendrith, 1998
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Learning to Drive a Bicycle Using Reinforcement Learning and Shaping
Jette Randløv and Preben Alstrøm, 1998
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Reinforcement Learning: An Introduction
Richard S. Sutton and Andrew G. Barto, 1998
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Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems
Satinder Singh and Dimitri Bertsekas, 1997
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Neuro-Dynamic Programming
Dimitri P. Bertsekas and John N. Tsitsiklis, 1996
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Improving Elevator Performance Using Reinforcement Learning
Robert H. Crites and Andrew G. Barto, 1996
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A Reinforcement Learning Approach to job-shop Scheduling
Wei Zhang and Thomas G. Dietterich, 1995
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Practical Issues in Temporal Difference Learning
Gerald Tesauro, 1992
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Further Real Applications of Markov Decision Processes
Douglas J. White, 1988
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Real Applications of Markov Decision Processes
Douglas J. White, 1985
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