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# Download model and save it into the logs/ folder
python -m utils.load_from_hub --algo ppo --env seals/Humanoid-v0 -orga ernestumorga -f logs/
python enjoy.py --algo ppo --env seals/Humanoid-v0 -f logs/python train.py --algo ppo --env seals/Humanoid-v0 -f logs/
# Upload the model and generate video (when possible)
python -m utils.push_to_hub --algo ppo --env seals/Humanoid-v0 -f logs/ -orga ernestumorga1OrderedDict([('batch_size', 256),
2 ('clip_range', 0.2),
3 ('ent_coef', 2.0745206045994986e-05),
4 ('gae_lambda', 0.92),
5 ('gamma', 0.999),
6 ('learning_rate', 2.0309225666232827e-05),
7 ('max_grad_norm', 0.5),
8 ('n_envs', 1),
9 ('n_epochs', 20),
10 ('n_steps', 2048),
11 ('n_timesteps', 10000000.0),
12 ('normalize', True),
13 ('policy', 'MlpPolicy'),
14 ('policy_kwargs',
15 'dict(activation_fn=nn.ReLU, net_arch=[dict(pi=[256, 256], '
16 'vf=[256, 256])])'),
17 ('vf_coef', 0.819262464558427),
18 ('normalize_kwargs', {'norm_obs': True, 'norm_reward': False})])