288 search results - page 7 / 58 » Risk-averse dynamic programming for Markov decision processe... |
AAAI
1997
14 years 10 months ago
1997
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
AI
2008
Springer
14 years 9 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...
ICML
2007
IEEE
15 years 10 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...
ICALP
2005
Springer
15 years 3 months ago
2005
Springer
We introduce Recursive Markov Decision Processes (RMDPs) and Recursive Simple Stochastic Games (RSSGs), which are classes of (finitely presented) countable-state MDPs and zero-su...
AIPS
2006
14 years 11 months ago
2006
This paper presents an adaptation of the standard quantum search technique to enable application within Dynamic Programming, in order to optimise a Markov Decision Process. This i...