Views
No views yet
cleanrl package with the following command:pip install "cleanrl[jax,envpool,atari]"
python -m cleanrl_utils.enjoy --exp-name cleanba_impala_envpool_machado_atari_wrapper_a0_l1_d4 --env-id Seaquest-v51curl -OL https://huggingface.co/cleanrl/Seaquest-v5-cleanba_impala_envpool_machado_atari_wrapper_a0_l1_d4-seed3/raw/main/cleanba_impala_envpool_machado_atari_wrapper.py
2curl -OL https://huggingface.co/cleanrl/Seaquest-v5-cleanba_impala_envpool_machado_atari_wrapper_a0_l1_d4-seed3/raw/main/pyproject.toml
3curl -OL https://huggingface.co/cleanrl/Seaquest-v5-cleanba_impala_envpool_machado_atari_wrapper_a0_l1_d4-seed3/raw/main/poetry.lock
4poetry install --all-extras
5python cleanba_impala_envpool_machado_atari_wrapper.py --exp-name cleanba_impala_envpool_machado_atari_wrapper_a0_l1_d4 --distributed --learner-device-ids 1 --local-num-envs 30 --track --wandb-project-name cleanba --save-model --upload-model --hf-entity cleanrl --env-id Seaquest-v5 --seed 31{'actor_device_ids': [0],
2 'actor_devices': ['gpu:0'],
3 'anneal_lr': True,
4 'async_batch_size': 30,
5 'async_update': 1,
6 'batch_size': 2400,
7 'capture_video': False,
8 'cuda': True,
9 'distributed': True,
10 'ent_coef': 0.01,
11 'env_id': 'Seaquest-v5',
12 'exp_name': 'cleanba_impala_envpool_machado_atari_wrapper_a0_l1_d4',
13 'gamma': 0.99,
14 'global_learner_decices': ['gpu:1', 'gpu:3', 'gpu:5', 'gpu:7'],
15 'hf_entity': 'cleanrl',
16 'learner_device_ids': [1],
17 'learner_devices': ['gpu:1'],
18 'learning_rate': 0.00025,
19 'local_batch_size': 600,
20 'local_minibatch_size': 300,
21 'local_num_envs': 30,
22 'local_rank': 0,
23 'max_grad_norm': 0.5,
24 'minibatch_size': 1200,
25 'num_envs': 120,
26 'num_minibatches': 2,
27 'num_steps': 20,
28 'num_updates': 20833,
29 'profile': False,
30 'save_model': True,
31 'seed': 3,
32 'target_kl': None,
33 'test_actor_learner_throughput': False,
34 'torch_deterministic': True,
35 'total_timesteps': 50000000,
36 'track': True,
37 'upload_model': True,
38 'vf_coef': 0.5,
39 'wandb_entity': None,
40 'wandb_project_name': 'cleanba',
41 'world_size': 4}