Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning (1999)

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by Richard Sutton , Doina Precup , Satinder Singh
Venue:Artificial Intelligence
Citations:426 - 29 self

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55 Between MDPs and semi-MDPs: Learning, planning, and representing knowledge at multiple temporal scales – Richard S. Sutton, Doina Precup - 1998
59 Temporal Abstraction in Reinforcement Learning – Doina Precup - 2000
3 Hierarchical Reinforcement Learning: A Hybrid Approach – Malcolm Ross Kinsella Ryan - 2002
1298 Reinforcement learning: a survey – Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore - 1996
2 Reinforcement Learning and Artificial Intelligence – Richard S. Sutton - 2003
367 Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition – Thomas G. Dietterich - 2000
4 A Symbol's Role In Learning Low Level Control Functions – Chris Drummond - 1999
1 A Study on Architecture, Algorithms, and Applications of Approximate Dynamic Programming Based Approach to Optimal Control – Jong Min Lee - 2004
4 Learning Hierarchical Behaviors – David Andre - 1998
Module-Based Reinforcement Learning: Experiments with a Real Robot – Csaba Szepesv Ari, Konkoly Thege, M. Tit
15 A Framework for Programming Embedded Systems: Initial Design and Results – Sebastian Thrun - 1998
8 Event-Learning And Robust Policy Heuristics – András Lörincz, Imre Pólik, István Szita - 2001
5 High-Level Robot Programming in Dynamic and Incompletely Known Environments – Mikhail Soutchanski - 2003
417 Decision-Theoretic Planning: Structural Assumptions and Computational Leverage – Craig Boutilier, Thomas Dean, Steve Hanks - 1999
19 Self-Segmentation of Sequences: Automatic Formation of Hierarchies of Sequential Behaviors – Ron Sun, Chad Sessions - 2000
83 Learning Maps for Indoor Mobile Robot Navigation – Sebastian Thrun - 1997
175 Algorithms for Sequential Decision Making – Michael Lederman Littman - 1996
49 Learning to Solve Markovian Decision Processes – Satinder P. Singh - 1994
1 HIERARCHICAL REINFORCEMENT LEARNING WITH FUNCTION APPROXIMATION FOR ADAPTIVE CONTROL – Margaret Mary Skelly