Learning Complementary Multiagent Behaviors: A Case Study
Shivaram Kalyanakrishnan and Peter Stone, 2010
Details
Estimating Learning Rates in Evolution and TDL: Results on a Simple Grid-World Problem
Simon M. Lucas, 2010
Details
Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning
Shimon Whiteson, Matthew E. Taylor, and Peter Stone, 2010
Details
Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem
Damien Ernst, Mevludin Glavic, Florin Capitanescu, and Louis Wehenkel, 2009
Details
Neuroevolution strategies for episodic reinforcement learning
Verena Heidrich-Meisner and Christian Igel, 2009
Details
An empirical analysis of value function-based and policy search reinforcement learning
Shivaram Kalyanakrishnan and Peter Stone, 2009
Details
The Role of Value Systems in Decision Making
Peter Dayan, 2008
Details
Decision Theory, Reinforcement Learning, and the Brain
Peter Dayan and Nathaniel D. Daw, 2008
Details
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Faustino Gomez, Jürgen Schmidhuber, and Risto Miikkulainen, 2008
Details
Similarities and differences between policy gradient methods and evolution strategies
Verena Heidrich-Meisner and Christian Igel, 2008
Details
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
Verena Heidrich-Meisner and Christian Igel, 2008
Details
Evolving Soccer Keepaway Players Through Task Decomposition
Shimon Whiteson, Nate Kohl, Risto Miikkulainen, and Peter Stone, 2005
Details
On Actor-Critic Algorithms
Vijay R. Konda and John N. Tsitsiklis, 2003
Details
Coordinated Reinforcement Learning
Carlos Guestrin, Michail G. Lagoudakis, and Ronald Parr, 2002
Details
Gradient Descent for General Reinforcement Learning
Leemon Baird and Andrew Moore, 1999
Details
Evolutionary Algorithms for Reinforcement Learning
David E. Moriarty, Alan C. Schultz, and John J. Grefenstette, 1999
Details
A Comparison of Direct and Model-Based Reinforcement Learning
Christopher G. Atkeson and Juan Carlos Santamar\'ia, 1997
Details
Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching
Long-Ji Lin, 1992
Details