802 search results - page 93 / 161 » Experts in a Markov Decision Process |
CCE
2004
14 years 9 months ago
2004
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
119
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IJRR
2010
14 years 8 months ago
2010
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
ICTAI
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract--The difficulties encountered in sequential decisionmaking problems under uncertainty are often linked to the large size of the state space. Exploiting the structure of th...
140
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PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...