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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 ppo --env MiniGrid-Unlock-v0 -orga sb3 -f logs/
python -m rl_zoo3.enjoy --algo ppo --env MiniGrid-Unlock-v0 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo ppo --env MiniGrid-Unlock-v0 -orga sb3 -f logs/
python -m rl_zoo3.enjoy --algo ppo --env MiniGrid-Unlock-v0 -f logs/python -m rl_zoo3.train --algo ppo --env MiniGrid-Unlock-v0 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo ppo --env MiniGrid-Unlock-v0 -f logs/ -orga sb31OrderedDict([('batch_size', 64),
2 ('clip_range', 0.2),
3 ('ent_coef', 0.0),
4 ('env_wrapper', 'gym_minigrid.wrappers.FlatObsWrapper'),
5 ('gae_lambda', 0.95),
6 ('gamma', 0.99),
7 ('learning_rate', 0.00025),
8 ('n_envs', 8),
9 ('n_epochs', 10),
10 ('n_steps', 128),
11 ('n_timesteps', 100000.0),
12 ('normalize', True),
13 ('policy', 'MlpPolicy'),
14 ('normalize_kwargs', {'norm_obs': True, 'norm_reward': False})])