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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; Pages for logged out editors learn more

  3. 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 ...

  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. Law of effect - Wikipedia

    en.wikipedia.org/wiki/Law_of_effect

    The situation involves not just the cat's location but also the stimuli it is exposed to, for example, the hunger and the desire for freedom. The cat recognizes the inside of the box, the bars, and the lever and remembers what it needs to do to produce the correct response. This shows that learning and the law of effect are context-specific.

  6. Deep reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Deep_reinforcement_learning

    Another class of model-free deep reinforcement learning algorithms rely on dynamic programming, inspired by temporal difference learning and Q-learning. In discrete action spaces, these algorithms usually learn a neural network Q-function Q ( s , a ) {\displaystyle Q(s,a)} that estimates the future returns taking action a {\displaystyle a} from ...

  7. 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 ...

  8. 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]

  9. AI will make coding skills more, not less, valuable—and it’s ...

    www.aol.com/finance/ai-coding-skills-more-not...

    AI’s ability to generate base code will free up tomorrow’s programmers—kids today—to better focus on creativity and problem-solving.