6562 search results - page 329 / 1313 » Noetherianity and Combination Problems |
177
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WSC
2008
15 years 9 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
174
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WSC
2007
15 years 9 months ago
2007
The problem of finding the binomial population with the highest success probability is considered when the number of binomial populations is large. A new rigorous indifference zo...
201
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AIMSA
2008
Springer
15 years 8 months ago
2008
Springer
We present a hybrid approach to Distributed Constraint Satisfaction which combines incomplete, fast, penalty-based local search with complete, slower systematic search. Thus, we pr...
156
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ECAI
2008
Springer
15 years 8 months ago
2008
Springer
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
182
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MVA
2007
15 years 8 months ago
2007
A novel scheme is proposed for achieving motion segmentation in low-frame rate videos, with application to temporal super resolution. Probabilistic generative models are commonly ...