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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 ddpg --env HumanoidRunPureStateDMC-v0 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo ddpg --env HumanoidRunPureStateDMC-v0 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo ddpg --env HumanoidRunPureStateDMC-v0 -orga qgallouedec -f logs/
python -m rl_zoo3.enjoy --algo ddpg --env HumanoidRunPureStateDMC-v0 -f logs/python -m rl_zoo3.train --algo ddpg --env HumanoidRunPureStateDMC-v0 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo ddpg --env HumanoidRunPureStateDMC-v0 -f logs/ -orga qgallouedec1OrderedDict([('batch_size', 64),
2 ('gamma', 0.99),
3 ('learning_rate', 0.0001),
4 ('n_timesteps', 1000000.0),
5 ('noise_std', 0.3),
6 ('noise_type', 'ornstein-uhlenbeck'),
7 ('policy', 'MlpPolicy'),
8 ('policy_kwargs',
9 'dict(net_arch=dict(pi=[300, 200], qf=[400, 300]))'),
10 ('normalize', False)])