The repository implements deep reinforcement learning to train humanoid robots (Cassie, JVRC-1) for bipedal locomotion. It uses PPO (Proximal Policy Optimization) in MuJoCo physics simulation to learn robust walking on compliant and uneven terrain. The codebase includes custom humanoid environment implementations and is associated with multiple published papers on humanoid walking.