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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 sac --env LunarLanderContinuous-v2 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo sac --env LunarLanderContinuous-v2 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo sac --env LunarLanderContinuous-v2 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo sac --env LunarLanderContinuous-v2 -f logs/python -m rl_zoo3.train --algo sac --env LunarLanderContinuous-v2 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo sac --env LunarLanderContinuous-v2 -f logs/ -orga qgallouedec1OrderedDict([('batch_size', 256),
2 ('buffer_size', 1000000),
3 ('ent_coef', 'auto'),
4 ('gamma', 0.99),
5 ('gradient_steps', 1),
6 ('learning_rate', 'lin_7.3e-4'),
7 ('learning_starts', 10000),
8 ('n_timesteps', 500000.0),
9 ('policy', 'MlpPolicy'),
10 ('policy_kwargs', 'dict(net_arch=[400, 300])'),
11 ('tau', 0.01),
12 ('train_freq', 1),
13 ('normalize', False)])