Xavier: A Robot Navigation Architecture Based on Partially Observable Markov Decision Process Models (1998)

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by Sven Koenig , Reid G. Simmons
Venue:Artificial Intelligence Based Mobile Robotics: Case Studies of Successful Robot Systems
Citations:98 - 7 self

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32 Planning and control in stochastic domains with imperfect information – Milos Hauskrecht - 1997
2 A Robust Robot Navigation Architecture Using Partially Observable Semi-Markov Decision Processes – Nikfar A. Khaleeli, Major Professor, Sridhar Mahadevan, Ph. D - 1997
175 Algorithms for Sequential Decision Making – Michael Lederman Littman - 1996
62 Exploiting Structure to Efficiently Solve Large Scale Partially Observable Markov Decision Processes – Pascal Poupart - 2005
62 Finding Approximate POMDP Solutions Through Belief Compression – Nicholas Roy, Geoffrey Gordon, Sebastian Thrun - 2003
40 Complexity of Finite-Horizon Markov Decision Process Problems – Martin Mundhenk, Judy Goldsmith, Christopher Lusena, Eric Allender - 2000
253 Probabilistic robot navigation in partially observable environments – Reid Simmons, Sven Koenig - 1995
50 Passive Distance Learning for Robot Navigation – Sven Koenig, Reid G. Simmons - 1996
417 Decision-Theoretic Planning: Structural Assumptions and Computational Leverage – Craig Boutilier, Thomas Dean, Steve Hanks - 1999
153 Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva – S. Thrun, M. Beetz, M. Bennewitz, W. Burgard, A.B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz - 2000
822 Planning and acting in partially observable stochastic domains – Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra - 1998
3 Discrete Bayesian Uncertainty Models for Mobile-Robot Navigation – Anthony R. Cassandra, Leslie Pack Kaelbling, James A. Kurien
183 Acting under Uncertainty: Discrete Bayesian Models for Mobile-Robot Navigation – Anthony R. Cassandra, Leslie Pack Kaelbling, James A. Kurien - 1996
67 Abstraction and Approximate Decision Theoretic Planning – Richard Dearden, Craig Boutilier - 1997
1298 Reinforcement learning: a survey – Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore - 1996
127 Value-function approximations for partially observable Markov decision processes – Milos Hauskrecht - 2000
7 Reinforcement learning for factored markov decision processes – Brian Sallans - 2002
84 Markovian Models for Sequential Data – Yoshua Bengio - 1996
Predictive Representations For Sequential Decision Making Under Uncertainty – Abdeslam Boularias - 2010