| --- |
| tags: |
| - LunarLander-v2 |
| - 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: LunarLander-v2 |
| type: LunarLander-v2 |
| metrics: |
| - type: mean_reward |
| value: -118.04 +/- 82.61 |
| name: mean_reward |
| verified: false |
| --- |
| |
| # PPO Agent Playing LunarLander-v2 |
|
|
| This is a trained model of a PPO agent playing LunarLander-v2. |
| |
| # Hyperparameters |
| ```python |
| {'exp_name': 'ppo' |
| 'seed': 1 |
| 'torch_deterministic': True |
| 'cuda': True |
| 'track': False |
| 'wandb_project_name': 'cleanRL' |
| 'wandb_entity': None |
| 'capture_video': False |
| 'env_id': 'LunarLander-v2' |
| 'total_timesteps': 50000 |
| 'learning_rate': 0.00025 |
| 'num_envs': 4 |
| 'num_steps': 128 |
| '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': 'bitcloud2/ppo_scratch' |
| 'batch_size': 512 |
| 'minibatch_size': 128} |
| ``` |
| |
