Reinforcement Learning Algorithms: Analysis and Applications

Springer Nature Switzerland AG, 2021

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This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences.

ISBN-13
9783030411879
ISBN-10
3030411877
Publisher
Springer Nature Switzerland AG
Year
2021
Publication date
2021-01-03
Pages
206
Dimensions
235x155x