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What We Do

  • 🔭 We focus on the theory and practice of machine learning, with applications to robotics and foundation models.

  • 🌱 We host workshops and seminars on safe reinforcement learning. Researchers and students interested in safe RL are welcome to join! Recordings are available on the Safe RL YouTube Channel. For more information, visit the Safe RL Seminar Homepage or the Safe RL Workshop Homepage.

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  1. Safe-MARL-in-Autonomous-Driving Safe-MARL-in-Autonomous-Driving Public

    [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.

    Jupyter Notebook 59 8

  2. Robust-Gymnasium Robust-Gymnasium Public

    [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.

    Python 53 2

  3. TeaMs-RL TeaMs-RL Public

    [TMLR] TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning.

    Python 6

  4. Safety-MuJoCo Safety-MuJoCo Public

    [AAAI 2024 (Oral)] Safety-MuJoCo Environments.

    Python 9

  5. CMORL CMORL Public

    [IEEE TPAMI] A Framework for Constrained Multi-Objective Reinforcement Learning

    Python 7

  6. m4r m4r Public

    Measuring Massive Multimodal Understanding and Reasoning in Open Space

    Python 2

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