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# Download model and save it into the logs/ folder
python -m rl_zoo3.load_from_hub --algo dqn --env Sailing-v1 -orga justinlangseth -f logs/
python enjoy.py --algo dqn --env Sailing-v1 -f logs/pip install rl_zoo3), from anywhere you can do:python -m rl_zoo3.load_from_hub --algo dqn --env Sailing-v1 -orga justinlangseth -f logs/
rl_zoo3 enjoy --algo dqn --env Sailing-v1 -f logs/python train.py --algo dqn --env Sailing-v1 -f logs/
# Upload the model and generate video (when possible)
python -m rl_zoo3.push_to_hub --algo dqn --env Sailing-v1 -f logs/ -orga justinlangseth1OrderedDict([('batch_size', 128),
2 ('buffer_size', 125000),
3 ('exploration_final_eps', 0.01),
4 ('exploration_fraction', 0.25),
5 ('gamma', 0.99),
6 ('gradient_steps', 1),
7 ('learning_rate', 0.00063),
8 ('learning_starts', 0),
9 ('n_envs', 24),
10 ('n_timesteps', 50000),
11 ('policy', 'MlpPolicy'),
12 ('policy_kwargs',
13 'dict(net_arch=[512, 256, 128, 128], activation_fn=nn.ReLU)'),
14 ('target_update_interval', 250),
15 ('train_freq', 4),
16 ('vec_env_wrapper', 'stable_baselines3.common.vec_env.VecMonitor'),
17 ('normalize', False)])