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AAAI
2006
13 years 8 months ago
Incremental Least Squares Policy Iteration for POMDPs
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
Hui Li, Xuejun Liao, Lawrence Carin
ICRA
2005
IEEE
118views Robotics» more  ICRA 2005»
14 years 1 months ago
Planning with Continuous Actions in Partially Observable Environments
Abstract— We present a simple randomized POMDP algorithm for planning with continuous actions in partially observable environments. Our algorithm operates on a set of reachable b...
Matthijs T. J. Spaan, Nikos A. Vlassis
ATAL
2008
Springer
13 years 9 months ago
Exploiting locality of interaction in factored Dec-POMDPs
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Wh...
AAAI
2012
11 years 9 months ago
Tree-Based Solution Methods for Multiagent POMDPs with Delayed Communication
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
Frans Adriaan Oliehoek, Matthijs T. J. Spaan
NIPS
2007
13 years 8 months ago
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
Planning in partially observable environments remains a challenging problem, despite significant recent advances in offline approximation techniques. A few online methods have a...
Stéphane Ross, Joelle Pineau, Brahim Chaib-...