| ---
|
| 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: -231.58 +/- 111.92
|
| 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': 'liamleirs/q-PPO'
|
| 'batch_size': 512
|
| 'minibatch_size': 128}
|
| ```
|
| |
