499 search results - page 1 / 100 » Model Minimization in Markov Decision Processes |
AAAI
1997
13 years 8 months ago
1997
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
AI
2008
Springer
13 years 7 months ago
2008
Springer
Verification of reachability properties for probabilistic systems is usually based on variants of Markov processes. Current methods assume an exact model of the dynamic behavior a...
CDC
2009
IEEE
13 years 11 months ago
2009
IEEE
— We consider decision making in a Markovian setup where the reward parameters are not known in advance. Our performance criterion is the gap between the performance of the best ...
AIPS
2009
13 years 8 months ago
2009
Explaining policies of Markov Decision Processes (MDPs) is complicated due to their probabilistic and sequential nature. We present a technique to explain policies for factored MD...
APN
2007
Springer
14 years 1 months ago
2007
Springer
In this work, we propose two high-level formalisms, Markov Decision Petri Nets (MDPNs) and Markov Decision Well-formed Nets (MDWNs), useful for the modeling and analysis of distrib...