771 search results - page 5 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
AI
2008
Springer
13 years 10 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...
AAAI
1996
13 years 11 months ago
1996
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
IJCAI
2007
13 years 11 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
ATAL
2003
Springer
14 years 3 months ago
2003
Springer
There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). However, similar treatment of m...
AIPS
2008
14 years 3 days 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-...