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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 ppo --env PandaReach-v3 -orga liajun -f logs/
python -m rl_zoo3.enjoy --algo ppo --env PandaReach-v3 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo ppo --env PandaReach-v3 -orga liajun -f logs/
python -m rl_zoo3.enjoy --algo ppo --env PandaReach-v3 -f logs/python -m rl_zoo3.train --algo ppo --env PandaReach-v3 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo ppo --env PandaReach-v3 -f logs/ -orga liajun1OrderedDict([('batch_size', 512),
2 ('clip_range', 0.2),
3 ('ent_coef', 0.00066),
4 ('gae_lambda', 0.9978),
5 ('gamma', 0.99779),
6 ('learning_rate', 0.00044),
7 ('max_grad_norm', 0.77),
8 ('n_envs', 16),
9 ('n_epochs', 10),
10 ('n_steps', 2048),
11 ('n_timesteps', 1000000.0),
12 ('normalize', True),
13 ('policy', 'MultiInputPolicy'),
14 ('policy_kwargs',
15 'dict( net_arch=[256, 256], activation_fn=nn.ReLU )'),
16 ('normalize_kwargs', {'norm_obs': True, 'norm_reward': False})]){'render_mode': 'rgb_array'}