Active Bibliography

158 Algorithms for Sequential Decision Making – Michael Lederman Littman - 1996
1 A Study on Architecture, Algorithms, and Applications of Approximate Dynamic Programming Based Approach to Optimal Control – Jong Min Lee - 2004
18 Large-Scale Dynamic Optimization Using Teams of Reinforcement Learning Agents – Robert Harry Crites - 1996
13 A unifying framework for computational reinforcement learning theory – Lihong Li - 2009
43 Learning to Solve Markovian Decision Processes – Satinder P. Singh - 1994
20 Incremental Dynamic Programming for On-Line Adaptive Optimal Control – Steven J. Bradtke - 1994
23 Generalized Markov Decision Processes: Dynamic-programming and Reinforcement-learning Algorithms – Csaba Szepesvári, Michael L. Littman - 1996
472 Learning to act using real-time dynamic programming – Andrew G. Barto, Steven J. Bradtke, Satinder P. Singh - 1993
4 Focus of attention in reinforcement learning – Lihong Li, Vadim Bulitko, Russell Greiner - 2004
17 To Discount or not to Discount in Reinforcement Learning: A Case Study Comparing R Learning and Q Learning – Sridhar Mahadevan - 1994
80 Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results – Sridhar Mahadevan - 1996
91 Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma – Tuomas W. Sandholm, Robert H. Crites - 1995
www.cs.uu.nl Learning to Play Board Games using Temporal Difference Methods – Marco A. Wiering, Jan Peter Patist, Henk Mannen, Marco A. Wiering, Henk Mannen, Jan Peter Patist - 2007
1 A Tutorial on Reinforcement Learning Techniques – Carlos Henrique, Costa Ribeiro
Aprendizado por Reforço – Carlos Henrique Costa Ribeiro - 1999
4 Reinforcement Learning in Non-Markov Environments – Steven D. Whitehead, Long Ji Lin - 1992
5 Reinforcement learning for factored markov decision processes – Brian Sallans - 2002
35 A Generalized Reinforcement-Learning Model: Convergence and Applications – Michael L. Littman, Csaba Szepesvári - 1996
10 Abstraction in Control Learning – Richard Yee - 1992