Active Bibliography

3 Learning and Planning in Structured Worlds – Richard W. Dearden - 2000
145 Stochastic Dynamic Programming with Factored Representations – Craig Boutilier, Richard Dearden, Moisés Goldszmidt - 1997
417 Decision-Theoretic Planning: Structural Assumptions and Computational Leverage – Craig Boutilier, Thomas Dean, Steve Hanks - 1999
96 Planning, learning and coordination in multiagent decision processes – Craig Boutilier - 1996
67 Abstraction and Approximate Decision Theoretic Planning – Richard Dearden, Craig Boutilier - 1997
16 Correlated action effects in decision theoretic regression – Craig Boutilier - 1997
92 Equivalence notions and model minimization in Markov decision processes – Robert Givan , Thomas Dean , Matthew Greig - 2003
32 Planning and control in stochastic domains with imperfect information – Milos Hauskrecht - 1997
Solving Large Markov . . . – Yilan Gu - 2003
226 Exploiting structure in policy construction – Craig Boutilier, Richard Dearden, Moisés Goldszmidt - 1995
25 Structured solution methods for non-Markovian decision processes – Fahiem Bacchus, Craig Boutilier, Adam Grove - 1997
1298 Reinforcement learning: a survey – Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore - 1996
17 Process-oriented planning and average-reward optimality – Craig Boutilier, Martin L. Puterman - 1995
175 Algorithms for Sequential Decision Making – Michael Lederman Littman - 1996
5 High-Level Robot Programming in Dynamic and Incompletely Known Environments – Mikhail Soutchanski - 2003
20 An Overview of Planning Under Uncertainty – Jim Blythe - 1999
66 Decision-theoretic Planning – Jim Blythe - 1999
16 A Causal Approach to Hierarchical Decomposition in Reinforcement Learning – Anders Jonsson - 2006
30 Rewarding behaviors – Craig Boutilier, Adam Grove - 1996