Reinforcement Learning Algorithms: Analysis and Applications (Studies in Computational Intelligence Book 883) by Boris Belousov
Requirements: .ePUB reader, 15 MB
Overview: 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. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.
Genre: Non-Fiction > Tech & Devices
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Requirements: .ePUB reader, 15 MB
Overview: 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. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://userupload.net/y0lokt0wvqr0
https://dropgalaxy.vip/27n6n72nlf0s
Trouble downloading? Read This.