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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 BipedalWalkerHardcore-v3 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo ppo --env BipedalWalkerHardcore-v3 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo ppo --env BipedalWalkerHardcore-v3 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo ppo --env BipedalWalkerHardcore-v3 -f logs/python -m rl_zoo3.train --algo ppo --env BipedalWalkerHardcore-v3 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo ppo --env BipedalWalkerHardcore-v3 -f logs/ -orga qgallouedec1OrderedDict([('batch_size', 64),
2 ('clip_range', 'lin_0.2'),
3 ('ent_coef', 0.001),
4 ('gae_lambda', 0.95),
5 ('gamma', 0.99),
6 ('learning_rate', 'lin_2.5e-4'),
7 ('n_envs', 16),
8 ('n_epochs', 10),
9 ('n_steps', 2048),
10 ('n_timesteps', 100000000.0),
11 ('normalize', True),
12 ('policy', 'MlpPolicy'),
13 ('normalize_kwargs', {'norm_obs': True, 'norm_reward': False})])