6393 search results - page 986 / 1279 » Randomized Algorithms on the Mesh |
162
Voted
NIPS
2001
15 years 6 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
135
Voted
SODA
2001
ACM
15 years 6 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
135
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UAI
2004
15 years 6 months ago
2004
We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Bo...
129
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UAI
2004
15 years 6 months ago
2004
We present new MCMC algorithms for computing the posterior distributions and expectations of the unknown variables in undirected graphical models with regular structure. For demon...
138
Voted
CEC
2010
IEEE
15 years 5 months ago
2010
IEEE
The field of evolutionary dynamic optimisation is concerned with the application of evolutionary algorithms to dynamic optimisation problems. In recent years, numerous new algorith...