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3
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Learning and Planning in Structured Worlds
– Richard W. Dearden
- 2000
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120
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Stochastic Dynamic Programming with Factored Representations
– Craig Boutilier, Richard Dearden, Moisés Goldszmidt
- 1997
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342
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Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
– Craig Boutilier, Thomas Dean, Steve Hanks
- 1999
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72
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Planning, learning and coordination in multiagent decision processes
– Craig Boutilier
- 1996
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60
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Abstraction and Approximate Decision Theoretic Planning
– Richard Dearden, Craig Boutilier
- 1997
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15
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Correlated action effects in decision theoretic regression
– Craig Boutilier
- 1997
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31
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Planning and control in stochastic domains with imperfect information
– Milos Hauskrecht
- 1997
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25
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Structured solution methods for non-Markovian decision processes
– Fahiem Bacchus, Craig Boutilier, Adam Grove
- 1997
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1134
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Reinforcement learning: a survey
– Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore
- 1996
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78
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Equivalence Notions and Model Minimization in Markov Decision Processes
– Robert Givan, Matthew Greig, Thomas Dean
- 2003
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16
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Process-oriented planning and average-reward optimality
– Craig Boutilier, Martin L. Puterman
- 1995
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158
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Algorithms for Sequential Decision Making
– Michael Lederman Littman
- 1996
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2
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High-Level Robot Programming in Dynamic and Incompletely Known Environments
– Mikhail Soutchanski
- 2003
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18
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An Overview of Planning Under Uncertainty
– Jim Blythe
- 1999
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54
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Decision-theoretic Planning
– Jim Blythe
- 1999
|
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12
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A Causal Approach to Hierarchical Decomposition in Reinforcement Learning
– Anders Jonsson
- 2006
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27
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Rewarding behaviors
– Craig Boutilier, Adam Grove
- 1996
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4
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Exploiting Structure for Planning and Control
– Shieu-hong Lin
- 1997
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105
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Value-function approximations for partially observable Markov decision processes
– Milos Hauskrecht
- 2000
|