Booster Gym is a reinforcement learning (RL) framework developed by Booster Robotics for humanoid locomotion of T1 and K1 robots. Built on NVIDIA Isaac Lab, it provides RL task sets, sim-to-real transfer policies, and tooling for training and deploying policies. Open-source, Apache 2.0, available on GitHub.
