| # 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` |
|
|
