91 search results - page 1 / 19 » Percentile Optimization for Markov Decision Processes with P... |
IOR
2010
14 years 10 months ago
2010
89
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
120
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COLT
2007
Springer
15 years 6 months ago
2007
Springer
Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP). Unlike the case of an MDP, t...
ECML
2005
Springer
15 years 5 months ago
2005
Springer
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
102
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AIPS
2008
15 years 2 months ago
2008
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...