metadata
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: '-1.10 +/- 0.00'
name: mean_reward
verified: false
# PPO Agent Playing myenv-v1
This is a trained model of a PPO agent playing myenv-v1.
# Gameplay
<video controls src="https://huggingface.co/MRNH/ppo-callofsp/resolve/main/replay.mp4"></video>
# 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': 100000 '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/ppo-callofsp' 'save_path': 'agent.pt' 'save_every': 10 'batch_size': 2048 'minibatch_size': 32} ```