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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)

Richard S. Sutton, Andrew G. Barto




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 | #32165 in Books |  Bradford Book |  1998-03-01 | Original language:English | PDF # 1 |  9.00 x.81 x7.00l,1.72 | File type: PDF | 322 pages

 | Bradford Book

||2 of 2 people found the following review helpful.| The Classic book on RL.|By Christopher Olah|A great introduction introduction to RL. A bit date at points, but remarkably accessible.|2 of 2 people found the following review helpful.| must read|By Thomas O. Wood|Excellent text from founders of the field|0 of 0 people found the following review helpful.| ||This is a highly intuitive and accessible introduction to the recent major developments in reinforcement learning, written by two of the field's pioneering contributors. (Dimitri P. Bertsekas and John N. Tsitsiklis, Professors, Department of Electrical Engine

Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the fie...

You easily download any file type for your device.Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)   |  Richard S. Sutton, Andrew G. Barto. I was recommended this book by a dear friend of mine.

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