Approximating value trees in structured dynamic programming (1996)

by Craig Boutilier , Richard Dearden
Citations:35 - 13 self

Active Bibliography

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