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  1. Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".

    Python 23 8

  2. Single player Alpha Zero implementation

    Python 14 12

  3. Code for the paper 'Monte Carlo Tree Search for Asymmetric Trees'

    Python 4 3

  4. Thesis code: 'Novelty detection for action recognition'

    MATLAB 3 4

  5. Code for the paper 'The Potential of the Return Distribution for Exploration in RL'

    Python 2

  6. Forked from muupan/deep-reinforcement-learning-papers

    A list of papers and resources dedicated to deep reinforcement learning

    1

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October 1, 2020

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March 2020

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