cleanrl / NinjaHard-v0-cleanba_ppo_envpool_procgen-seed1

(CleanRL) PPO Agent Playing NinjaHard-v0

This is a trained model of a PPO agent playing NinjaHard-v0. The model was trained by using CleanRL and the most up-to-date training code can be found here .

Get Started

To use this model, please install the cleanrl package with the following command:

pip install "cleanrl[jax,envpool,atari]"
python -m cleanrl_utils.enjoy --exp-name cleanba_ppo_envpool_procgen --env-id NinjaHard-v0

Please refer to the documentation for more detail.

Command to reproduce the training

curl -OL https://huggingface.co/cleanrl/NinjaHard-v0-cleanba_ppo_envpool_procgen-seed1/raw/main/cleanba_ppo_envpool_procgen.py
curl -OL https://huggingface.co/cleanrl/NinjaHard-v0-cleanba_ppo_envpool_procgen-seed1/raw/main/pyproject.toml
curl -OL https://huggingface.co/cleanrl/NinjaHard-v0-cleanba_ppo_envpool_procgen-seed1/raw/main/poetry.lock
poetry install --all-extras
python cleanba_ppo_envpool_procgen.py --distributed --track --save-model --upload-model --wandb-project-name cleanba --hf-entity cleanrl --env-id NinjaHard-v0 --seed 1

Hyperparameters

{'actor_device_ids': [0],
 'actor_devices': ['gpu:0'],
 'anneal_lr': False,
 'async_batch_size': 20,
 'async_update': 3,
 'batch_size': 61440,
 'capture_video': False,
 'clip_coef': 0.2,
 'cuda': True,
 'distributed': True,
 'ent_coef': 0.01,
 'env_id': 'NinjaHard-v0',
 'exp_name': 'cleanba_ppo_envpool_procgen',
 'gae_lambda': 0.95,
 'gamma': 0.999,
 'global_learner_decices': ['gpu:0', 'gpu:1', 'gpu:2', 'gpu:3'],
 'hf_entity': 'cleanrl',
 'learner_device_ids': [0],
 'learner_devices': ['gpu:0'],
 'learning_rate': 0.0005,
 'local_batch_size': 15360,
 'local_minibatch_size': 1920,
 'local_num_envs': 60,
 'local_rank': 0,
 'max_grad_norm': 0.5,
 'minibatch_size': 7680,
 'norm_adv': True,
 'num_envs': 240,
 'num_minibatches': 8,
 'num_steps': 256,
 'num_updates': 1627,
 'profile': False,
 'save_model': True,
 'seed': 1,
 'target_kl': None,
 'test_actor_learner_throughput': False,
 'torch_deterministic': True,
 'total_timesteps': 100000000,
 'track': True,
 'update_epochs': 3,
 'upload_model': True,
 'vf_coef': 0.5,
 'wandb_entity': None,
 'wandb_project_name': 'cleanba',
 'world_size': 4}