| --- |
| tags: |
| - myenv-v1 |
| - 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: myenv-v1 |
| type: myenv-v1 |
| metrics: |
| - type: mean_reward |
| value: -0.10 +/- 0.00 |
| name: mean_reward |
| verified: false |
| --- |
| |
| # PPO Agent Playing myenv-v1 |
| |
| This is a trained model of a PPO agent playing myenv-v1. |
| |
| # Hyperparameters |
| ```python |
| {'exp_name': 'ppo_no_pbt' |
| 'seed': 1 |
| 'torch_deterministic': True |
| 'cuda': True |
| 'track': False |
| 'wandb_project_name': 'cleanRL' |
| 'wandb_entity': None |
| 'capture_video': False |
| 'env_id': 'myenv-v1' |
| 'total_timesteps': 500000 |
| 'learning_rate': 0.00025 |
| 'num_envs': 1 |
| 'num_steps': 2048 |
| 'anneal_lr': True |
| 'anneal_ent_coef': False |
| 'anneal_clip_coef': False |
| 'gae': True |
| 'gamma': 0.99 |
| 'gae_lambda': 0.95 |
| 'num_minibatches': 64 |
| 'update_epochs': 3 |
| 'norm_adv': True |
| 'clip_coef': 0.2 |
| 'clip_vloss': True |
| 'ent_coef': 0.03 |
| 'vf_coef': 0.5 |
| 'max_grad_norm': 0.5 |
| 'target_kl': None |
| 'repo_id': 'MRNH/myenv-v1' |
| 'save_path': 'agent.pt' |
| 'save_every': 10 |
| 'batch_size': 2048 |
| 'minibatch_size': 32} |
| ``` |
| |
