Titlebook: Learning to Play; Reinforcement Learni Aske Plaat Textbook 2020 Springer Nature Switzerland AG 2020 Deep Learning.Machine Learning.Reinforc

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entrance

Aske PlaatAuthor takes as inspiration breakthroughs in game playing, and using two-agent games to explain the full power of deep reinforcement learning.Suitable for advanced undergraduate and graduate courses i

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Reinforcement Learning,The field of reinforcement learning studies the behavior of agents that learn through interaction with their environment. Reinforcement learning is a general paradigm, with links to trial-and-error methods and behavioral conditioning studies. In this chapter we will introduce basic concepts and algorithms that will be used in the restof the book.

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Heuristic Planning,Combinatorial games have been used in AI to study reasoning and decision making since the early days of AI. An important challenge in decision making is how tosearch large state spaces efficiently.

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