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Reinforcement Learning and Dynamic Programming Using Function Approximators

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Reinforcement Learning and Dynamic Programming Using Function Approximators - Busoniu, Lucian, and Babuska, Robert, and de Schutter, Bart
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While Dynamic Programming (DP) has helped solve control problems involving dynamic systems, its value was limited by algorithms that lacked practical scale-up capacity. In recent years, developments in Reinforcement Learning (RL), DP's model-free counterpart, has changed this. Focusing on continuous-variable problems, this unparalleled work provides an introduction to classical RL and DP, followed by a presentation of current methods in RL and DP with approximation. Combining algorithm development with theoretical ...

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Reinforcement Learning and Dynamic Programming Using Function Approximators 2010, CRC Press, Oxford

ISBN-13: 9781439821084

Hardcover