Computing optimal policies for partially observable decision processes using compact representations (1996)

by Craig Boutilier , David Poole
Venue:In Proceedings of the Thirteenth National Conference on Artificial Intelligence
Citations:113 - 15 self

Active Bibliography

421 Decision-Theoretic Planning: Structural Assumptions and Computational Leverage – Craig Boutilier, Thomas Dean, Steve Hanks - 1999
32 Planning and control in stochastic domains with imperfect information – Milos Hauskrecht - 1997
67 Abstraction and Approximate Decision Theoretic Planning – Richard Dearden, Craig Boutilier - 1997
96 Planning, learning and coordination in multiagent decision processes – Craig Boutilier - 1996
147 Stochastic Dynamic Programming with Factored Representations – Craig Boutilier, Richard Dearden, Moisés Goldszmidt - 1997
177 Algorithms for Sequential Decision Making – Michael Lederman Littman - 1996
11 Planning and Control in Artificial Intelligence: A Unifying Perspective – Blai Bonet, Héctor Geffner - 2001
128 Value-function approximations for partially observable Markov decision processes – Milos Hauskrecht - 2000
150 The Independent Choice Logic for modelling multiple agents under uncertainty – David Poole - 1997
39 Complexity of Finite-Horizon Markov Decision Process Problems – Martin Mundhenk, Judy Goldsmith, Christopher Lusena, Eric Allender - 2000
2 Decision-theoretic Planning of . . . – Niels Bastiaan Peek - 2000
20 A Model Approximation Scheme for Planning in Partially Observable Stochastic Domains – Nevin L. Zhang, Wenju Liu - 1997
63 Exploiting Structure to Efficiently Solve Large Scale Partially Observable Markov Decision Processes – Pascal Poupart - 2005
4 Exploiting Structure for Planning and Control – Shieu-hong Lin - 1997
161 Planning Under Time Constraints in Stochastic Domains – Thomas Dean, Leslie Pack Kaelbling, Jak Kirman, Ann Nicholson - 1993
11 Algorithms for Partially Observable Markov Decision Processes – Weihong Zhang - 2001
29 Planning in Stochastic Domains: Problem Characteristics and Approximation – Nevin L. Zhang, Wenju Liu - 1996
63 Finding Approximate POMDP Solutions Through Belief Compression – Nicholas Roy, Geoffrey Gordon, Sebastian Thrun - 2003
12 Exploiting the Rule Structure for Decision Making within the Independent Choice Logic – David Poole, K. R. Apt, M. Bezem Acyclic, R. A. Howard, Matheson Influence, In R. A. Howard - 1995