Deep Reinforcement Learning

Charu Aggarwal
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Charu Aggarwal: International Business Machines, IBM T. J. Watson Research Center

Chapter Chapter 11 in Neural Networks and Deep Learning, 2023, pp 389-433 from Springer

Abstract: Abstract HumanReinforcement Learning beings do not learn from a concrete notion of training data. Learning in humans is a continuous experience-driven process in which decisions are made, and the reward/punishment received from the environment are used to guide the learning process for future decisions. In other words, learning in intelligent beings is by reward-guided trial and error.

Date: 2023
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DOI: 10.1007/978-3-031-29642-0_11

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