502 search results - page 80 / 101 » Monotone Approximation of Decision Problems |
ATAL
2007
Springer
15 years 3 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 9 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()...
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AMAI
2004
Springer
15 years 3 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
15 years 11 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...
ATAL
2009
Springer
15 years 4 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...