brax
Brax, developed with JAX, is a high-performance physics engine that supports fast simulations in robotics, human perception, and reinforcement learning. It is optimized for acceleration hardware, making it scalable for simulations across multiple devices. Brax includes training algorithms such as PPO and SAC, utilizing its differentiable simulator for analytical policy gradients. With four physics pipelines, including MuJoCo XLA and Spring, Brax adapts to diverse simulation needs. It offers Colab notebook support and integrates with frameworks like PyTorch. Installation is flexible with pip, Conda, or source, fitting different computational environments.
