SAFE-PANDA-GYM a modification to Panda - Gym to train Safe-RL agents

This page summarizes the projects mentioned and recommended in the original post on /r/reinforcementlearning

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  • panda-gym

    Set of robotic environments based on PyBullet physics engine and gymnasium.

    We develop a modification to the Panda Gym by adding constraints to the environments like Unsafe regions and, constraints on the task. The aim is to develop an environment to test CMDPs (Constraint Markov Decision Process) / Safe-RL algorithms such as CPO, PPO - Lagrangian and algorithms developed by the team. Agents would not only have to come up with optimal policy for control and planning but also ensure they don't violate a constraint.

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  • Safe-Policy-Optimization

    NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

    Support SafePO-Baselines to train the safe environments in our repo, which can be seen in the train_safe_rl_algorithms folder.

  • Safe-panda-gym

    OpenaAI Gym Franka Emika Panda robot environment based on PyBullet.

    URL: https://github.com/tohsin/Safe-panda-gym.git

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