Finding Structure in Reinforcement Learning (1995)

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by Sebastian Thrun , Anton Schwartz
Venue:Advances in Neural Information Processing Systems 7
Citations:102 - 4 self

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1298 Reinforcement learning: a survey – Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore - 1996
10 Modular On-line Function Approximation for Scaling up Reinforcement Learning – Chen Khong Tham - 1994
1 C3 Reinforcement Learning – S. Sathiya Keerthi, B. Ravindran
8 The Sensorimotor Foundations of Phonology: A Computational Model of Early Childhood Articulatory and Phonetic Development – Kevin Lee Markey - 1994
45 Problem Solving With Reinforcement Learning – Gavin Adrian Rummery - 1995
Solution of Delayed Reinforcement Learning Problems Having Continuous Action Spaces – B. Ravindran - 1996
10 A Tutorial Survey of Reinforcement Learning – S Sathiya Keerthi, B Ravindran
49 Learning to Solve Markovian Decision Processes – Satinder P. Singh - 1994
1 A Study on Architecture, Algorithms, and Applications of Approximate Dynamic Programming Based Approach to Optimal Control – Jong Min Lee - 2004
6 Learning To Learn: Introduction – S. Thrun - 1996
Feudal Q-Learning – Peter Dayan - 1995
ATutorial Survey of Reinforcement Learning – Ssathiya Keerthi, B Ravindran
83 Learning Maps for Indoor Mobile Robot Navigation – Sebastian Thrun - 1997
55 Between MDPs and semi-MDPs: Learning, planning, and representing knowledge at multiple temporal scales – Richard S. Sutton, Doina Precup - 1998
426 Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning – Richard Sutton, Doina Precup, Satinder Singh - 1999
4 A Symbol's Role In Learning Low Level Control Functions – Chris Drummond - 1999
99 Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results – Sridhar Mahadevan - 1996
25 Scaling Reinforcement Learning Algorithms by Learning Variable Temporal Resolution Models – Satinder P. Singh - 1992
20 Incremental Dynamic Programming for On-Line Adaptive Optimal Control – Steven J. Bradtke - 1994