771 search results - page 14 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
140
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JAIR
2006
15 years 1 months ago
2006
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
119
Voted
GLOBECOM
2008
IEEE
15 years 8 months ago
2008
IEEE
—We consider peer-to-peer (P2P) networks, where multiple peers are interested in sharing content. While sharing resources, autonomous and self-interested peers need to make decis...
105
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ICMAS
2000
15 years 3 months ago
2000
In this paper, we formulate agent's decision process under the framework of Markov decision processes, and in particular, the multi-agent extension to Markov decision process...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
97
Voted
ICRA
2007
IEEE
15 years 8 months ago
2007
IEEE
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...