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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 ars --env BipedalWalker-v3 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo ars --env BipedalWalker-v3 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo ars --env BipedalWalker-v3 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo ars --env BipedalWalker-v3 -f logs/python -m rl_zoo3.train --algo ars --env BipedalWalker-v3 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo ars --env BipedalWalker-v3 -f logs/ -orga qgallouedec1OrderedDict([('alive_bonus_offset', -0.1),
2 ('delta_std', 0.0075),
3 ('learning_rate', 0.02),
4 ('n_delta', 64),
5 ('n_envs', 1),
6 ('n_timesteps', 100000000.0),
7 ('n_top', 32),
8 ('normalize', 'dict(norm_obs=True, norm_reward=False)'),
9 ('policy', 'MlpPolicy'),
10 ('policy_kwargs', 'dict(net_arch=[16])'),
11 ('normalize_kwargs', {'norm_obs': True, 'norm_reward': False})])