enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. 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 ...

  3. B. F. Skinner - Wikipedia

    en.wikipedia.org/wiki/B._F._Skinner

    The most notable schedules of reinforcement studied by Skinner were continuous, interval (fixed or variable), and ratio (fixed or variable). All are methods used in operant conditioning. Continuous reinforcement (CRF): each time a specific action is performed the subject receives a reinforcement. This method is effective when teaching a new ...

  4. Learning theory (education) - Wikipedia

    en.wikipedia.org/wiki/Learning_theory_(education)

    Geographical learning theory focuses on the ways that contexts and environments shape the learning process. Outside the realm of educational psychology , techniques to directly observe the functioning of the brain during the learning process, such as event-related potential and functional magnetic resonance imaging , are used in educational ...

  5. 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 .

  6. Deep reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Deep_reinforcement_learning

    Various techniques exist to train policies to solve tasks with deep reinforcement learning algorithms, each having their own benefits. At the highest level, there is a distinction between model-based and model-free reinforcement learning, which refers to whether the algorithm attempts to learn a forward model of the environment dynamics.

  7. Curriculum learning - Wikipedia

    en.wikipedia.org/wiki/Curriculum_learning

    It is frequently combined with reinforcement learning, such as learning a simplified version of a game first. [12] Some domains have shown success with anti-curriculum learning: training on the most difficult examples first. One example is the ACCAN method for speech recognition, which trains on the examples with the lowest signal-to-noise ...

  8. Learning - Wikipedia

    en.wikipedia.org/wiki/Learning

    Observational learning is learning that occurs through observing the behavior of others. It is a form of social learning which takes various forms, based on various processes. In humans, this form of learning seems to not need reinforcement to occur, but instead, requires a social model such as a parent, sibling, friend, or teacher with ...

  9. Social learning theory - Wikipedia

    en.wikipedia.org/wiki/Social_learning_theory

    Social learning theory is a theory of social behavior that proposes that new behaviors can be acquired by observing and imitating others. It states that learning is a cognitive process that takes place in a social context and can occur purely through observation or direct instruction, even in the absence of motor reproduction or direct reinforcement. [1]