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5960497 | 1 2 3 4 5 6 7 8 9 10 | # PPOSGD
- Original paper: https://arxiv.org/abs/1707.06347
- Baselines blog post: https://blog.openai.com/openai-baselines-ppo/
- `mpirun -np 8 python -m baselines.ppo1.run_atari` runs the algorithm for 40M frames = 10M timesteps on an Atari game. See help (`-h`) for more options.
- `python -m baselines.ppo1.run_mujoco` runs the algorithm for 1M frames on a Mujoco environment.
- Train mujoco 3d humanoid (with optimal-ish hyperparameters): `mpirun -np 16 python -m baselines.ppo1.run_humanoid --model-path=/path/to/model`
- Render the 3d humanoid: `python -m baselines.ppo1.run_humanoid --play --model-path=/path/to/model`
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