RL training environments for Microduck (mjlab)
microduck_rl provides reinforcement-learning environments for training walking and recovery policies for Microduck, an 800-gram, 25-centimetre bipedal robot, in MuJoCo through mjlab. It trains policies with PPO in simulation, including actuator and terrain variation, then exports them to ONNX for deployment on the physical robot.
2 files for Codex, OpenCode and Claude Code: microduck_rl AGENTS.md, microduck_rl CLAUDE.md — 5,331 tokens loaded in every session.
AGENTS.md A 5,326 tok CLAUDE.md A 5 tok These files are pollen-robotics/microduck_rl's own configuration — they tell Codex, OpenCode and Claude Code how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.