This repository provides the reinforcement learning training infrastructure for the AgiBot X1 humanoid robot. It uses PyTorch with Isaac Gym as the physics simulation environment to train locomotion policies through RL. The codebase includes training scripts, playback utilities for debugging trained models, and export functionality to generate JIT and ONNX inference models for real-robot deployment or further simulation testing.