Information about Test

  1. Reinforcement learning

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    reinforcement learning is called approximate dynamic programming, or neuro-dynamic programming. The problems of interest in reinforcement learning have

  2. Social learning theory

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    absence of motor reproduction or direct reinforcement. In addition to the observation of behavior, learning also occurs through the observation of rewards

  3. Artificial neural network

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    ANNs serve as the learning component in such applications. Dynamic programming coupled with ANNs (giving neurodynamic programming) has been applied to

  4. Reinforcement

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    In behavioral psychology, reinforcement is a consequence applied that will strengthen an organism's future behavior whenever that behavior is preceded

  5. Machine learning

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    learning, the environment is typically represented as a Markov Decision Process (MDP). Many reinforcement learning algorithms use dynamic programming

  6. Deep learning

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    that were validated experimentally all the way into mice. Deep reinforcement learning has been used to approximate the value of possible direct marketing

  7. Data science

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    more quickly. Machine learning is a technique used to perform tasks by inferencing patterns from data. Python is a programming language with simple syntax

  8. David Silver (computer scientist)

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    David Silver (born c. 1976) leads the reinforcement learning research group at DeepMind and was lead researcher on AlphaGo, AlphaZero and co-lead on AlphaStar

  9. Programmed learning

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    Programmed learning (or programmed instruction) is a research-based system which helps learners work successfully. The method is guided by research done

  10. B. F. Skinner

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    last reinforcement. This schedule yields steady responding at a rate that varies with the average frequency of reinforcement. For example, learning Japanese:

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