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Learners locating somewhere in between supervised and unsupervised learning, are expected being a real revolution in artificial intelligence. For a recent talk of Y. LeCun the interested reader can refer to [1]. Transfer and Reinforced Learning represents at their turn very powerful learning procedures, the former by profiting from some existing knowledge, and the later by reinforcing the learning by using the so-called reward.

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Learning Modalities

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Francisco Chinesta,
  • Elías Cueto,
  • Victor Champaney,
  • Chady Ghnatios,
  • Amine Ammar,
  • Nicolas Hascoët,
  • David González,
  • Icíar Alfaro,
  • Daniele Di Lorenzo,
  • Angelo Pasquale,
  • Dominique Baillargeat

摘要

Learners locating somewhere in between supervised and unsupervised learning, are expected being a real revolution in artificial intelligence. For a recent talk of Y. LeCun the interested reader can refer to [1]. Transfer and Reinforced Learning represents at their turn very powerful learning procedures, the former by profiting from some existing knowledge, and the later by reinforcing the learning by using the so-called reward.