32 search results - page 5 / 7 » Optimal and Approximate Q-value Functions for Decentralized ... |
IAT
2005
IEEE
14 years 1 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 ...
HICSS
2003
IEEE
14 years 28 days ago
2003
IEEE
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
ATAL
2003
Springer
14 years 27 days ago
2003
Springer
There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). However, similar treatment of m...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
We consider the problem of sequential decentralized detection, a problem that entails several interdependent choices: the choice of a stopping rule (specifying the sample size), a...
AAAI
2010
13 years 9 months ago
2010
The precise specification of reward functions for Markov decision processes (MDPs) is often extremely difficult, motivating research into both reward elicitation and the robust so...