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cleanrl package with the following command:pip install "cleanrl[jax,envpool,atari]"
python -m cleanrl_utils.enjoy --exp-name cleanba_ppo_envpool_machado_atari_wrapper --env-id UpNDown-v51curl -OL https://huggingface.co/cleanrl/UpNDown-v5-cleanba_ppo_envpool_machado_atari_wrapper-seed3/raw/main/cleanba_ppo_envpool_machado_atari_wrapper.py
2curl -OL https://huggingface.co/cleanrl/UpNDown-v5-cleanba_ppo_envpool_machado_atari_wrapper-seed3/raw/main/pyproject.toml
3curl -OL https://huggingface.co/cleanrl/UpNDown-v5-cleanba_ppo_envpool_machado_atari_wrapper-seed3/raw/main/poetry.lock
4poetry install --all-extras
5python cleanba_ppo_envpool_machado_atari_wrapper.py --distributed --learner-device-ids 1 2 3 --track --wandb-project-name cleanba --save-model --upload-model --hf-entity cleanrl --env-id UpNDown-v5 --seed 31{'actor_device_ids': [0],
2 'actor_devices': ['gpu:0'],
3 'anneal_lr': True,
4 'async_batch_size': 20,
5 'async_update': 3,
6 'batch_size': 15360,
7 'capture_video': False,
8 'clip_coef': 0.1,
9 'concurrency': True,
10 'cuda': True,
11 'distributed': True,
12 'ent_coef': 0.01,
13 'env_id': 'UpNDown-v5',
14 'exp_name': 'cleanba_ppo_envpool_machado_atari_wrapper',
15 'gae_lambda': 0.95,
16 'gamma': 0.99,
17 'global_learner_decices': ['gpu:1',
18 'gpu:2',
19 'gpu:3',
20 'gpu:5',
21 'gpu:6',
22 'gpu:7'],
23 'hf_entity': 'cleanrl',
24 'learner_device_ids': [1, 2, 3],
25 'learner_devices': ['gpu:1', 'gpu:2', 'gpu:3'],
26 'learning_rate': 0.00025,
27 'local_batch_size': 7680,
28 'local_minibatch_size': 1920,
29 'local_num_envs': 60,
30 'local_rank': 0,
31 'max_grad_norm': 0.5,
32 'minibatch_size': 3840,
33 'norm_adv': True,
34 'num_envs': 120,
35 'num_minibatches': 4,
36 'num_steps': 128,
37 'num_updates': 3255,
38 'profile': False,
39 'save_model': True,
40 'seed': 3,
41 'target_kl': None,
42 'test_actor_learner_throughput': False,
43 'torch_deterministic': True,
44 'total_timesteps': 50000000,
45 'track': True,
46 'update_epochs': 4,
47 'upload_model': True,
48 'vf_coef': 0.5,
49 'wandb_entity': None,
50 'wandb_project_name': 'cleanba',
51 'world_size': 2}