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Deep Reinforcement Learning

In: Neural Networks and Deep Learning

Author

Listed:
  • Charu Aggarwal

    (International Business Machines, IBM T. J. Watson Research Center)

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.

Suggested Citation

  • Charu Aggarwal, 2023. "Deep Reinforcement Learning," Springer Books, in: Neural Networks and Deep Learning, edition 2, chapter 0, pages 389-433, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-29642-0_11
    DOI: 10.1007/978-3-031-29642-0_11
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