502 search results - page 80 / 101 » Monotone Approximation of Decision Problems |
ATAL
2007
Springer
15 years 6 months ago
2007
Springer
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
CORR
2006
Springer
14 years 11 months ago
2006
Springer
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
112
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AMAI
2004
Springer
15 years 5 months ago
2004
Springer
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
ICCV
1999
IEEE
16 years 1 months ago
1999
IEEE
This paper describes a Bayesian approach for modeling 3D scenes as a collection of approximately planar layers that are arbitrarily positioned and oriented in the scene. In contra...
104
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ATAL
2009
Springer
15 years 6 months ago
2009
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...