119 search results - page 6 / 24 » A Markov Reward Model Checker |
AIPS
2006
14 years 11 months ago
2006
Researchers often express probabilistic planning problems as Markov decision process models and then maximize the expected total reward. However, it is often rational to maximize ...
76
Voted
ECML
2005
Springer
15 years 3 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...
91
Voted
IJCAI
2001
14 years 11 months ago
2001
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
QEST
2006
IEEE
15 years 3 months ago
2006
IEEE
We consider discrete infinite-state Markov chains which contain an eager finite attractor. A finite attractor is a finite subset of states that is eventually reached with prob...
151
Voted
Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...