--- tags: - HealthGatheringSupreme-v1 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course - sample-factory model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_supreme metrics: - type: mean_reward value: 18.30 +/- 8.82 name: mean_reward verified: false --- # 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 ```python {'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} ```