268 search results - page 31 / 54 » Solving multiagent assignment Markov decision processes |
138
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ATAL
2009
Springer
15 years 10 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
126
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STACS
1997
Springer
15 years 7 months ago
1997
Springer
Exotic semirings such as the “(max, +) semiring” (R ∪ {−∞}, max, +), or the “tropical semiring” (N ∪ {+∞}, min, +), have been invented and reinvented many times s...
ECML
2007
Springer
15 years 9 months ago
2007
Springer
In this article, we present an idea for solving deterministic partially observable markov decision processes (POMDPs) based on a history space containing sequences of past observat...
113
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FLAIRS
2008
15 years 5 months ago
2008
We are interested in building decision-support software for social welfare case managers. Our model in the form of a factored Markov decision process is so complex that a standard...
138
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AAAI
2010
15 years 4 months ago
2010
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...