Shypd.aiThe largest open index of AI toolsIsaacGymEnvs provides high-performance reinforcement learning environments for NVIDIA Isaac Gym, enabling researchers and developers to train AI models efficiently. It offers a robust framework for benchmarking and developing robot learning solutions.
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IsaacGymEnvs is a collection of reinforcement learning environments specifically designed for the NVIDIA Isaac Gym platform. These environments are optimized for high-performance GPU-based physics simulation, as detailed in the NeurIPS 2021 Datasets and Benchmarks paper. The repository offers an easy-to-use API for creating vectorized environments, supporting various tasks like Ant locomotion, Cartpole, and AllegroHand manipulation. It includes features such as headless training, checkpoint loading, multi-GPU training, population-based training, and integration with Weights & Biases for experiment tracking. The framework also incorporates domain randomization to enhance sim-to-real transfer of trained policies, making it a powerful tool for advanced robot learning research and development.
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