87 search results - page 7 / 18 » Dynamic Programming for Partially Observable Stochastic Game... |
105
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DATE
2008
IEEE
15 years 6 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
103
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CCE
2004
14 years 11 months ago
2004
Optimal control problems involve the difficult task of determining time-varying profiles through dynamic optimization. Such problems become even more complex in practical situatio...
106
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ATAL
2009
Springer
15 years 6 months ago
2009
Springer
This paper reports on a novel decentralised technique for planning agent schedules in dynamic task allocation problems. Specifically, we use a Markov game formulation of these pr...
117
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HICSS
2007
IEEE
15 years 6 months ago
2007
IEEE
We introduce a stochastic model that describes the quasistatic dynamics of an electric transmission network under perturbations introduced by random load fluctuations, random rem...
ATAL
2008
Springer
15 years 1 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...