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  2. Trial and error - Wikipedia

    en.wikipedia.org/wiki/Trial_and_error

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Help; Learn to edit; Community portal; Recent changes; Upload file

  3. Error-driven learning - Wikipedia

    en.wikipedia.org/wiki/Error-driven_learning

    Error-driven learning is a type of reinforcement learning method. This method tweaks a model’s parameters based on the difference between the proposed and actual results. These models stand out as they depend on environmental feedback instead of explicit labels or categories. [1]

  4. Edward Thorndike - Wikipedia

    en.wikipedia.org/wiki/Edward_Thorndike

    Edward Thorndike. Edward Lee Thorndike (August 31, 1874 – August 9, 1949) was an American psychologist who spent nearly his entire career at Teachers College, Columbia University. His work on comparative psychology and the learning process led to the theory of connectionism and helped lay the scientific foundation for educational psychology.

  5. Social learning theory - Wikipedia

    en.wikipedia.org/wiki/Social_learning_theory

    Social learning theory. A social behavior theory which proposes that new behaviors can be acquired by observing and imitating others. Albert Bandura [1] is known for studying this theory. 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 ...

  6. 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 ought to take actions in a dynamic environment in order to maximize the cumulative reward. Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and ...

  7. Deep reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Deep_reinforcement_learning

    The promise of using deep learning tools in reinforcement learning is generalization: the ability to operate correctly on previously unseen inputs. For instance, neural networks trained for image recognition can recognize that a picture contains a bird even it has never seen that particular image or even that particular bird.

  8. Law of effect - Wikipedia

    en.wikipedia.org/wiki/Law_of_effect

    The law of effect, or Thorndike's law, is a psychology principle advanced by Edward Thorndike in 1898 on the matter of behavioral conditioning (not then formulated as such) which states that "responses that produce a satisfying effect in a particular situation become more likely to occur again in that situation, and responses that produce a ...

  9. Errorless learning - Wikipedia

    en.wikipedia.org/wiki/Errorless_learning

    Errorless learning was an instructional design introduced by psychologist Charles Ferster in the 1950s as part of his studies on what would make the most effective learning environment. B. F. Skinner was also influential in developing the technique, noting that, ...errors are not necessary for learning to occur.