(CleanRL) TD3 Agent Playing Hopper-v4
This is a trained model of a TD3 agent playing Hopper-v4. 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[td3_continuous_action_jax]"
python -m cleanrl_utils.enjoy --exp-name td3_continuous_action_jax --env-id Hopper-v4
Please refer to the documentation for more detail.
Command to reproduce the training
curl -OL https://huggingface.co/sdpkjc/Hopper-v4-td3_continuous_action_jax-seed1/raw/main/td3_continuous_action_jax.py
curl -OL https://huggingface.co/sdpkjc/Hopper-v4-td3_continuous_action_jax-seed1/raw/main/pyproject.toml
curl -OL https://huggingface.co/sdpkjc/Hopper-v4-td3_continuous_action_jax-seed1/raw/main/poetry.lock
poetry install --all-extras
python td3_continuous_action_jax.py --env-id Hopper-v4 --learning-starts 100 --batch-size 32 --total-timesteps 105 --save-model --upload-model --hf-entity sdpkjc
Hyperparameters
{'batch_size': 32,
'buffer_size': 1000000,
'capture_video': False,
'env_id': 'Hopper-v4',
'exp_name': 'td3_continuous_action_jax',
'exploration_noise': 0.1,
'gamma': 0.99,
'hf_entity': 'sdpkjc',
'learning_rate': 0.0003,
'learning_starts': 100,
'noise_clip': 0.5,
'policy_frequency': 2,
'policy_noise': 0.2,
'save_model': True,
'seed': 1,
'tau': 0.005,
'total_timesteps': 105,
'track': False,
'upload_model': True,
'wandb_entity': None,
'wandb_project_name': 'cleanRL'}