Information about Test

  1. Reinforcement learning

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

  2. Social learning theory

    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

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

  4. Reinforcement

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

  5. Machine learning

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

  6. Deep learning

    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

    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)

    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

    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

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