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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 trpo --env Swimmer-v3 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo trpo --env Swimmer-v3 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo trpo --env Swimmer-v3 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo trpo --env Swimmer-v3 -f logs/python -m rl_zoo3.train --algo trpo --env Swimmer-v3 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo trpo --env Swimmer-v3 -f logs/ -orga qgallouedec1OrderedDict([('batch_size', 128),
2 ('cg_damping', 0.1),
3 ('cg_max_steps', 25),
4 ('gae_lambda', 0.95),
5 ('gamma', 0.9999),
6 ('learning_rate', 0.001),
7 ('n_critic_updates', 20),
8 ('n_envs', 2),
9 ('n_steps', 1024),
10 ('n_timesteps', 1000000.0),
11 ('normalize', True),
12 ('policy', 'MlpPolicy'),
13 ('sub_sampling_factor', 1),
14 ('normalize_kwargs', {'norm_obs': True, 'norm_reward': False})])