Titlebook: Reinforcement Learning From Scratch; Understanding Curren Uwe Lorenz Textbook 20221st edition The Editor(s) (if applicable) and The Author(

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書目名稱Reinforcement Learning From Scratch影響因子(影響力)學(xué)科排名




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Uwe LorenzAn introduction to reinforcement learning that is hands-on and accessible using Java and Greenfoot.Enables implementation of RL algorithms using easy-to-understand examples and implementations.Suitabl

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978-3-031-09032-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Artificial Neural Networks as Estimators for State Values and the Action Selection,rticular, the so-called artificial neural networks are discussed. We will also learn possibilities to use such estimators to create parameterized policies which, for a given state, can produce and improve a useful probability distribution over the available actions.

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Basic Concepts of Reinforcement Learning,agent is and how it generates more or less intelligent behavior in an environment with its “policy.” The structure of the basic model of reinforcement learning is described and the concept of intelligence in terms of individual utility maximization is introduced. In addition, some formal means are i