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» A Fast Analytical Algorithm for Solving Markov Decision Proc...
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ICML
2006
IEEE
9 years 9 months ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan
ATAL
2004
Springer
9 years 1 months ago
Decentralized Markov Decision Processes with Event-Driven Interactions
Decentralized MDPs provide a powerful formal framework for planning in multi-agent systems, but the complexity of the model limits its usefulness. We study in this paper a class o...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...
ATAL
2008
Springer
8 years 10 months ago
Controlling deliberation in a Markov decision process-based agent
Meta-level control manages the allocation of limited resources to deliberative actions. This paper discusses efforts in adding meta-level control capabilities to a Markov Decision...
George Alexander, Anita Raja, David J. Musliner
IJCAI
2001
8 years 9 months ago
Adaptive Control of Acyclic Progressive Processing Task Structures
The progressive processing model allows a system to trade off resource consumption against the quality of the outcome by mapping each activity to a graph of potential solution met...
Stéphane Cardon, Abdel-Illah Mouaddib, Shlo...
PUK
2000
8 years 9 months ago
Dynamic Scheduling of Progressive Processing Plans
Progressive processing plans allow systems to tradeoff computational resources against the quality of service by specifying alternative ways in which to accomplish each step. When ...
Shlomo Zilberstein, Abdel-Illah Mouaddib, Andrew A...
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