2 search results - page 1 / 1 » Decomposing Large-Scale POMDP Via Belief State Analysis |
91
Voted
IAT
2005
IEEE
15 years 3 months ago
2005
IEEE
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
89
Voted
IJCAI
2003
14 years 10 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...