280 search results - page 34 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
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 ...
AIPS
2004
14 years 11 months ago
2004
We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
We consider the problem of mining high-utility plans from historical plan databases that can be used to transform customers from one class to other, more desirable classes. Tradit...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
ATAL
2007
Springer
15 years 4 months ago
2007
Springer
A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...