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  • University of Washington
  • Seattle

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  1. Deep-Reinforcement-Learning-Reimplementation Public

    Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.

    Python 18 10

  2. Machine-Learning Public

    Machine Learning course at Tsinghua University

    Jupyter Notebook

  3. RoboticsProject Public

    Repo for final project of probabilistic robotics (CSE 571)

    Python 2

  4. MotionPlanning Public

    Course project for CSE571 (Probabilistic Robotics). Implement Differentiable Particles Filter, Motion Planning Networks and DDPG for a complete navigation pipeline.

    Python 5 2

  5. DeepKoopman Public

    Use deep learning to learn Koopman operator and LQR for optimal control

    Python 16 4

  6. ros-navigation/navigation2_dynamic Public

    Navigation2's dynamic obstacle detection, tracking, and processing pipelines.

    Python 66 18