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AI
2006
Springer
14 years 2 months ago
Belief Selection in Point-Based Planning Algorithms for POMDPs
Abstract. Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value funct...
Masoumeh T. Izadi, Doina Precup, Danielle Azar
ISRR
2005
Springer
163views Robotics» more  ISRR 2005»
14 years 4 months ago
POMDP Planning for Robust Robot Control
POMDPs provide a rich framework for planning and control in partially observable domains. Recent new algorithms have greatly improved the scalability of POMDPs, to the point where...
Joelle Pineau, Geoffrey J. Gordon
ATAL
2005
Springer
14 years 4 months ago
An online POMDP algorithm for complex multiagent environments
In this paper, we present an online method for POMDPs, called RTBSS (Real-Time Belief Space Search), which is based on a look-ahead search to find the best action to execute at e...
Sébastien Paquet, Ludovic Tobin, Brahim Cha...
UAI
2004
14 years 7 days ago
Heuristic Search Value Iteration for POMDPs
We present a novel POMDP planning algorithm called heuristic search value iteration (HSVI). HSVI is an anytime algorithm that returns a policy and a provable bound on its regret w...
Trey Smith, Reid G. Simmons
AAAI
1994
14 years 6 days ago
Acting Optimally in Partially Observable Stochastic Domains
In this paper, we describe the partially observable Markov decision process pomdp approach to nding optimal or near-optimal control strategies for partially observable stochastic ...
Anthony R. Cassandra, Leslie Pack Kaelbling, Micha...