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cleanrl package with the following command:pip install "cleanrl[ppo_atari_envpool_async_jax_scan_impalanet_machado]"
python -m cleanrl_utils.enjoy --exp-name ppo_atari_envpool_async_jax_scan_impalanet_machado --env-id Breakout-v51curl -OL https://huggingface.co/vwxyzjn/Breakout-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1/raw/main/ppo_atari_envpool_async_jax_scan_impalanet_machado.py
2curl -OL https://huggingface.co/vwxyzjn/Breakout-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1/raw/main/pyproject.toml
3curl -OL https://huggingface.co/vwxyzjn/Breakout-v5-ppo_atari_envpool_async_jax_scan_impalanet_machado-seed1/raw/main/poetry.lock
4poetry install --all-extras
5python ppo_atari_envpool_async_jax_scan_impalanet_machado.py --total-timesteps 4096 --save-model --upload-model1{'anneal_lr': True,
2 'async_batch_size': 16,
3 'batch_size': 2048,
4 'capture_video': False,
5 'clip_coef': 0.1,
6 'cuda': True,
7 'ent_coef': 0.01,
8 'env_id': 'Breakout-v5',
9 'exp_name': 'ppo_atari_envpool_async_jax_scan_impalanet_machado',
10 'gae': True,
11 'gae_lambda': 0.95,
12 'gamma': 0.99,
13 'hf_entity': '',
14 'learning_rate': 0.00025,
15 'max_grad_norm': 0.5,
16 'minibatch_size': 1024,
17 'norm_adv': True,
18 'num_envs': 64,
19 'num_minibatches': 2,
20 'num_steps': 32,
21 'num_updates': 2,
22 'save_model': True,
23 'seed': 1,
24 'target_kl': None,
25 'torch_deterministic': True,
26 'total_timesteps': 4096,
27 'track': False,
28 'update_epochs': 2,
29 'upload_model': True,
30 'vf_coef': 0.5,
31 'wandb_entity': None,
32 'wandb_project_name': 'cleanRL'}