771 search results - page 10 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
SIGECOM
2009
ACM
15 years 6 months ago
2009
ACM
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
112
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WSC
2001
15 years 1 months ago
2001
We address performance issues associated with simulationbased algorithms for optimizing Markov reward processes. Specifically, we are concerned with algorithms that exploit the re...
AUTOMATICA
2010
14 years 12 months ago
2010
AIPS
2000
15 years 1 months ago
2000
Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
105
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AAMAS
2011
Springer
14 years 6 months ago
2011
Springer
We consider a problem domain where coalitions of agents are formed in order to execute tasks. Each task is assigned at most one coalition of agents, and the coalition can be reorg...