515 search results - page 29 / 103 » Approximating Markov Processes by Averaging |
154
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PKDD
2010
Springer
14 years 9 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...
125
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ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random s...
NIPS
2003
15 years 1 months ago
2003
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
CDC
2008
IEEE
15 years 6 months ago
2008
IEEE
ate Abstractions of Discrete-Time Controlled Stochastic Hybrid Systems Alessandro D’Innocenzo, Alessandro Abate, and Maria D. Di Benedetto — This work proposes a procedure to c...
101
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ATAL
2007
Springer
15 years 6 months ago
2007
Springer
A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...