(HellRL) A2C Agent Playing CartPole-v1

The model was trained by using hellrl.

Command to reproduce the training

curl -OL https://huggingface.co/alperenunlu/CartPole-v1-a2c/raw/main/a2c.py
curl -OL https://huggingface.co/alperenunlu/CartPole-v1-a2c/raw/main/pyproject.toml
curl -OL https://huggingface.co/alperenunlu/CartPole-v1-a2c/raw/main/uv.lock
uv run a2c.py 

Hyperparameters

{'ent_coef': 0.01,
 'env_id': 'CartPole-v1',
 'eval_episodes': 10,
 'evaluate': True,
 'exp_name': 'a2c',
 'gae_lambda': 0.95,
 'gamma': 0.99,
 'hf_entity': 'alperenunlu',
 'learning_rate': 0.0003,
 'log_interval': 100,
 'n_envs': 32,
 'num_steps': 20,
 'push_model': True,
 'seed': 1,
 'total_timesteps': 150_000,
 'video_capture_frequency': 50}
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Evaluation results