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# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo sac --env seals/Swimmer-v0 -orga HumanCompatibleAI -f logs/
python enjoy.py --algo sac --env seals/Swimmer-v0 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo sac --env seals/Swimmer-v0 -orga HumanCompatibleAI -f logs/
rl_zoo3 enjoy --algo sac --env seals/Swimmer-v0 -f logs/python train.py --algo sac --env seals/Swimmer-v0 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo sac --env seals/Swimmer-v0 -f logs/ -orga HumanCompatibleAI1OrderedDict([('batch_size', 128),
2 ('buffer_size', 100000),
3 ('gamma', 0.995),
4 ('learning_rate', 0.00039981805535514633),
5 ('learning_starts', 1000),
6 ('n_timesteps', 1000000.0),
7 ('policy', 'MlpPolicy'),
8 ('policy_kwargs',
9 {'log_std_init': -2.689958330139309,
10 'net_arch': [400, 300],
11 'use_sde': False}),
12 ('tau', 0.01),
13 ('train_freq', 256),
14 ('normalize', False)])