reinforcement learning

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reinforcement learning (uncountable)

  1. (machine learning) A type of explorative learning via feedback in a simulated environment.
    Synonym: RL
    • 2010, Lutz Frommberger, Qualitative Spatial Abstraction in Reinforcement Learning, Springer Science & Business Media, →ISBN, page 10:
      Reinforcement learning can be seen as somewhere between supervised and unsupervised learning. The learning system receives a feedback for its actions, but it is not provided with examples to learn from.
    • 2022, Aske Plaat, Deep Reinforcement Learning, Springer Nature, →ISBN, page 3:
      Let us look more deeply at reinforcement learning, to see what it means to learn from our own actions. Reinforcement learning is a field in which an agent learns by interacting with an environment.

Derived terms[edit]

  • DRL (deep reinforcement learning)
  • RLHF (reinforcement learning from human feedback)


Further reading[edit]