6 search results - page 1 / 2 » Q-value functions for decentralized POMDPs |
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Planning in single-agent models like MDPs and POMDPs can be carried out by resorting to Q-value functions: a (near-) optimal Q-value function is computed in a recursive manner by ...
JAIR
2008
13 years 7 months ago
2008
Decision-theoretic planning is a popular approach to sequential decision making problems, because it treats uncertainty in sensing and acting in a principled way. In single-agent ...
IJCAI
2003
13 years 9 months ago
2003
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
ATAL
2008
Springer
13 years 9 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...
AIPS
2008
13 years 10 months ago
2008
We consider the problem of cooperative multiagent planning under uncertainty, formalized as a decentralized partially observable Markov decision process (Dec-POMDP). Unfortunately...