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    Reinforcement Learning Course Materials

    Reinforcement Learning Course Materials

    Lecture notes, tutorial tasks including solutions

    Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University. The source code for the entire course material is open and everyone is cordially invited to use it for self-learning (students) or to set up their own course (lecturers).
    Downloads: 1 This Week
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  • 2
    Mctx

    Mctx

    Monte Carlo tree search in JAX

    mctx is a Monte Carlo Tree Search (MCTS) library developed by Google DeepMind for reinforcement learning research. It enables efficient and flexible implementation of MCTS algorithms, including those used in AlphaZero and MuZero.
    Downloads: 0 This Week
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  • 3
    OpenSpiel

    OpenSpiel

    Environments and algorithms for research in general reinforcement

    OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. OpenSpiel supports n-player (single- and multi- agent) zero-sum, cooperative and general-sum, one-shot and sequential, strictly turn-taking and simultaneous-move, perfect and imperfect information games, as well as traditional multiagent environments such as (partially- and fully- observable) grid worlds and social dilemmas.
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    TaskWeaver

    TaskWeaver

    A code-first agent framework for seamlessly planning analytics tasks

    TaskWeaver is a multi-agent AI framework designed for orchestrating autonomous agents that collaborate to complete complex tasks.
    Downloads: 0 This Week
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  • 5
    Using reinforcement learning in neural network for learning othello
    Downloads: 0 This Week
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    Agents based reinforcement learning using Mathematica
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    This is a third year computer science project. A software system for simulating and animating Reinforcement Learning (RL) algorithms mainly for modular robots.
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  • 8
    The ultimate Reinforcement Learning Simulator!!!
    Downloads: 0 This Week
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  • 9
    General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.
    Downloads: 0 This Week
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