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(CleanRL) DQN Agent Playing MountainCar-v0

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

Command to reproduce the training

curl -OL https://huggingface.co/cleanrl/MountainCar-v0-dqn-seed1/raw/main/dqn.py
curl -OL https://huggingface.co/cleanrl/MountainCar-v0-dqn-seed1/raw/main/pyproject.toml
curl -OL https://huggingface.co/cleanrl/MountainCar-v0-dqn-seed1/raw/main/poetry.lock
poetry install --all-extras
python dqn.py --cuda False --track --capture-video --save-model --upload-model --hf-entity cleanrl --env-id MountainCar-v0 --seed 1

Hyperparameters

{'batch_size': 128,
 'buffer_size': 10000,
 'capture_video': True,
 'cuda': False,
 'end_e': 0.05,
 'env_id': 'MountainCar-v0',
 'exp_name': 'dqn',
 'exploration_fraction': 0.5,
 'gamma': 0.99,
 'hf_entity': 'cleanrl',
 'learning_rate': 0.00025,
 'learning_starts': 10000,
 'save_model': True,
 'seed': 1,
 'start_e': 1,
 'target_network_frequency': 500,
 'torch_deterministic': True,
 'total_timesteps': 500000,
 'track': True,
 'train_frequency': 10,
 'upload_model': True,
 'wandb_entity': None,
 'wandb_project_name': 'cleanRL'}
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