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  2. Reinforcement learning from human feedback - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning...

    In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves training a reward model to represent preferences, which can then be used to train other models through reinforcement learning .

  3. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised ...

  4. Reinforcement (speciation) - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_(speciation)

    Reinforcement, under his definition, included prezygotic divergence and complete post-zygotic isolation. [18] Servedio and Noor include any detected increase in prezygotic isolation as reinforcement, as long as it is a response to selection against mating between two different species. [ 4 ]

  5. Human-in-the-loop - Wikipedia

    en.wikipedia.org/wiki/Human-in-the-loop

    Humanistic intelligence, which is intelligence that arises by having the human in the feedback loop of the computational process [9] Reinforcement learning from human feedback; MIM-104 Patriot - Examples of a human-on-the-loop lethal autonomous weapon system posing a threat to friendly forces.

  6. Neuroevolution - Wikipedia

    en.wikipedia.org/wiki/Neuroevolution

    Neuroevolution is commonly used as part of the reinforcement learning paradigm, and it can be contrasted with conventional deep learning techniques that use backpropagation (gradient descent on a neural network) with a fixed topology.

  7. Exploration–exploitation dilemma - Wikipedia

    en.wikipedia.org/wiki/Exploration–exploitation...

    In the context of machine learning, the exploration–exploitation tradeoff is fundamental in reinforcement learning (RL), a type of machine learning that involves training agents to make decisions based on feedback from the environment. Crucially, this feedback may be incomplete or delayed. [4]

  8. Reinforcement - Wikipedia

    en.wikipedia.org/wiki/Reinforcement

    The standard definition of behavioral reinforcement has been criticized as circular, since it appears to argue that response strength is increased by reinforcement, and defines reinforcement as something that increases response strength (i.e., response strength is increased by things that increase response strength).

  9. Biological basis of personality - Wikipedia

    en.wikipedia.org/wiki/Biological_basis_of...

    The biological basis of personality is a collection of brain systems and mechanisms that underlie human personality. Human neurobiology, especially as it relates to complex traits and behaviors, is not well understood, but research into the neuroanatomical and functional underpinnings of personality are an active field of research.