827 search results - page 38 / 166 » Variational methods for Reinforcement Learning |
128
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IJCAI
2007
15 years 3 months ago
2007
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...
100
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GECCO
2005
Springer
15 years 8 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
139
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IJCAI
2007
15 years 3 months ago
2007
The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
144
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
122
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NIPS
2007
15 years 3 months ago
2007
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...