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Books > Computing & IT > Applications of computing > Artificial intelligence
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Reinforcement Learning Algorithms: Analysis and Applications (Hardcover, 1st ed. 2021)
Loot Price: R4,133
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Reinforcement Learning Algorithms: Analysis and Applications (Hardcover, 1st ed. 2021)
Series: Studies in Computational Intelligence, 883
Expected to ship within 12 - 17 working days
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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. Special emphasis is placed on advanced ideas,
algorithms, methods, and applications. The contributed papers
gathered here grew out of a lecture course on reinforcement
learning held by Prof. Jan Peters in the winter semester 2018/2019
at Technische Universitat Darmstadt. The book is intended for
reinforcement learning students and researchers with a firm grasp
of linear algebra, statistics, and optimization. Nevertheless, all
key concepts are introduced in each chapter, making the content
self-contained and accessible to a broader audience.
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