--- tags: - Pixelcopter-PLE-v0 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 metrics: - type: mean_reward value: 184.10 +/- 135.63 name: mean_reward verified: false --- # PPO Agent Playing Pixelcopter-PLE-v0 This is a trained model of a PPO agent playing Pixelcopter-PLE-v0. # Hyperparameters ```python {'exp_name': 'ppo_pixelcopter' 'seed': 1 'torch_deterministic': True 'cuda': True 'track': False 'wandb_project_name': 'cleanRL' 'wandb_entity': None 'capture_video': False 'env_id': 'Pixelcopter-PLE-v0' 'total_timesteps': 10000000 'learning_rate': 0.00025 'num_envs': 8 'num_steps': 1024 'anneal_lr': True 'gae': True 'gamma': 0.99 'gae_lambda': 0.95 'num_minibatches': 4 'update_epochs': 4 'norm_adv': True 'clip_coef': 0.2 'clip_vloss': True 'ent_coef': 0.01 'vf_coef': 0.5 'max_grad_norm': 0.5 'target_kl': None 'repo_id': 'nasnoussi/ppo-Pixelcopter-v1' 'batch_size': 8192 'minibatch_size': 2048} ```