92 search results - page 6 / 19 » Acting Optimally in Partially Observable Stochastic Domains |
108
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ICML
1995
IEEE
15 years 10 months ago
1995
IEEE
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
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ATAL
2004
Springer
15 years 2 months ago
2004
Springer
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
AMC
2008
14 years 9 months ago
2008
We present three new stopping rules for Multistart based methods. The first uses a device that enables the determination of the coverage of the bounded search domain. The second i...
DATE
2008
IEEE
15 years 4 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...
FOCS
2007
IEEE
15 years 3 months ago
2007
IEEE
We consider a variant of the classic multi-armed bandit problem (MAB), which we call FEEDBACK MAB, where the reward obtained by playing each of n independent arms varies according...