PPO Agent Playing HealthGatheringSupreme-v1
This is a trained model of a PPO agent playing HealthGatheringSupreme-v1 using a custom CleanRL PPO implementation (not sample factory).
Hyperparameters
{'env_id': 'HealthGatheringSupreme-v1'
'learning_rate': 0.0001
'learning_rate_min': 1e-06
'gamma': 0.99
'gae_lambda': 0.95
'clip_coef': 0.2
'total_timesteps': 10000000
'recurrence': 32
'ent_coef': 0.001
'vf_coef': 0.5
'max_grad_norm': 0.5
'num_minibatches': 4
'update_epochs': 1
'frame_skip': 4}
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Evaluation results
- mean_reward on doom_health_gathering_supremeself-reported18.30 +/- 8.82