Prioritized sweeping: Reinforcement learning with less data and less time (1993)

by Andrew W. Moore , Christopher G. Atkeson
Venue:Machine Learning
Citations:315 - 5 self

Active Bibliography

10 A Tutorial Survey of Reinforcement Learning – S Sathiya Keerthi, B Ravindran
527 Learning to act using real-time dynamic programming – Andrew G. Barto, Steven J. Bradtke, Satinder P. Singh - 1993
1 C3 Reinforcement Learning – S. Sathiya Keerthi, B. Ravindran
Solution of Delayed Reinforcement Learning Problems Having Continuous Action Spaces – B. Ravindran - 1996
4 Reinforcement Learning in Non-Markov Environments – Steven D. Whitehead, Long Ji Lin - 1992
1298 Reinforcement learning: a survey – Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore - 1996
10 Abstraction in Control Learning – Richard Yee - 1992
49 Learning to Solve Markovian Decision Processes – Satinder P. Singh - 1994
224 The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces – Andrew W. Moore, Christopher G. Atkeson - 1995
ATutorial Survey of Reinforcement Learning – Ssathiya Keerthi, B Ravindran
45 Reinforcement learning is direct adaptive optimal control – Richard S. Sutton, Andrew G. Barto, Ronald J. Williams - 1991
159 Locally Weighted Learning for Control – Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal - 1996
Aprendizado por Refor├žo – Carlos Henrique Costa Ribeiro - 1999
2 A Tutorial on Reinforcement Learning Techniques – Carlos Henrique Costa Ribeiro
2 Learning Evaluation Functions – Justin A. Boyan, Scott E. Fahlman, Tom Mitchell - 1996
275 Self-improving reactive agents based on reinforcement learning, planning and teaching – Long-ji Lin - 1992
25 Memory-Based Learning for Control – Andrew W. Moore, Christopher Atkeson, Stefan Schaal - 1995
122 Efficient Exploration In Reinforcement Learning – Sebastian B. Thrun - 1992
7 Learning with Incomplete Selective Perception – R. Andrew Mccallum - 1993