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pip install rl_zoo3# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo sac --env HumanoidBulletEnv-v0 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo sac --env HumanoidBulletEnv-v0 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo sac --env HumanoidBulletEnv-v0 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo sac --env HumanoidBulletEnv-v0 -f logs/python -m rl_zoo3.train --algo sac --env HumanoidBulletEnv-v0 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo sac --env HumanoidBulletEnv-v0 -f logs/ -orga qgallouedec1OrderedDict([('batch_size', 64),
2 ('buffer_size', 1000000),
3 ('ent_coef', 'auto'),
4 ('gradient_steps', 1),
5 ('learning_rate', 'lin_3e-4'),
6 ('learning_starts', 1000),
7 ('n_timesteps', 20000000.0),
8 ('normalize', "{'norm_obs': True, 'norm_reward': False}"),
9 ('policy', 'MlpPolicy'),
10 ('train_freq', 1),
11 ('normalize_kwargs', {'norm_obs': True, 'norm_reward': False})])