Reinforcement learning
- ISBN
- 0262193981
Reinforcement learning est un reinforcement learning, machine learning book de Richard S. Sutton.
À propos de ce livre
Reinforcement learning is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with its environment. This book explains the main ideas and algorithms of reinforcement learning. The book is thorough in its coverage. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.
À propos de l'auteur
Richard S. Sutton est l'auteur de Reinforcement learning. Parcourez son catalogue complet sur Booklogr.
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Quel est le genre de Reinforcement learning ?+
Reinforcement learning est un livre de Reinforcement learning, Machine learning, Artificial intelligence, Operations research.
De quoi parle Reinforcement learning ?+
Reinforcement learning is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with its environment. This book explains the main ideas and algorithms of reinforcement learning. The book is thorough in its coverage. Part I ...
Qui a écrit Reinforcement learning ?+
Reinforcement learning a été écrit par Richard S. Sutton.