168 search results - page 32 / 34 » Reinforcement Learning Algorithm for Partially Observable Ma... |
ATAL
2006
Springer
14 years 8 days ago
2006
Springer
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
FSR
2003
Springer
14 years 1 months ago
2003
Springer
We describe a mobile robot system, designed to assist residents of an retirement facility. This system is being developed to respond to an aging population and a predicted shortage...
ICML
1996
IEEE
14 years 9 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
JAIR
2010
13 years 7 months ago
2010
Decentralized planning in uncertain environments is a complex task generally dealt with by using a decision-theoretic approach, mainly through the framework of Decentralized Parti...