135 search results - page 1 / 27 » Bounded Parameter Markov Decision Processes |
COLT
2007
Springer
13 years 11 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...
AIPS
2008
13 years 7 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-...
ECP
1997
Springer
13 years 9 months ago
1997
Springer
ALT
2008
Springer
14 years 2 months ago
2008
Springer
Abstract. We consider an upper confidence bound algorithm for Markov decision processes (MDPs) with deterministic transitions. For this algorithm we derive upper bounds on the onl...
IOR
2010
13 years 3 months ago
2010