File size: 2,358 Bytes
f8e3f00 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 |
---
tags:
- Breakout-v5
- deep-reinforcement-learning
- reinforcement-learning
- custom-implementation
library_name: cleanrl
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Breakout-v5
type: Breakout-v5
metrics:
- type: mean_reward
value: 457.10 +/- 134.14
name: mean_reward
verified: false
---
# (CleanRL) **PPO** Agent Playing **Breakout-v5**
This is a trained model of a PPO agent playing Breakout-v5.
The model was trained by using [CleanRL](https://github.com/vwxyzjn/cleanrl) and the most up-to-date training code can be
found [here](https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl/ppo_atari_envpool_xla_jax_scan.py).
## Get Started
To use this model, please install the `cleanrl` package with the following command:
```
pip install "cleanrl[ppo_atari_envpool_xla_jax_scan]"
python -m cleanrl_utils.enjoy --exp-name ppo_atari_envpool_xla_jax_scan --env-id Breakout-v5
```
Please refer to the [documentation](https://docs.cleanrl.dev/get-started/zoo/) for more detail.
## Command to reproduce the training
```bash
curl -OL https://huggingface.co/vwxyzjn/Breakout-v5-ppo_atari_envpool_xla_jax_scan-seed3/raw/main/ppo_atari_envpool_xla_jax_scan.py
curl -OL https://huggingface.co/vwxyzjn/Breakout-v5-ppo_atari_envpool_xla_jax_scan-seed3/raw/main/pyproject.toml
curl -OL https://huggingface.co/vwxyzjn/Breakout-v5-ppo_atari_envpool_xla_jax_scan-seed3/raw/main/poetry.lock
poetry install --all-extras
python ppo_atari_envpool_xla_jax_scan.py --track --save-model --upload-model --env-id Breakout-v5 --seed 3
```
# Hyperparameters
```python
{'anneal_lr': True,
'batch_size': 1024,
'capture_video': False,
'clip_coef': 0.1,
'cuda': True,
'ent_coef': 0.01,
'env_id': 'Breakout-v5',
'exp_name': 'ppo_atari_envpool_xla_jax_scan',
'gae_lambda': 0.95,
'gamma': 0.99,
'hf_entity': '',
'learning_rate': 0.00025,
'max_grad_norm': 0.5,
'minibatch_size': 256,
'norm_adv': True,
'num_envs': 8,
'num_minibatches': 4,
'num_steps': 128,
'num_updates': 9765,
'save_model': True,
'seed': 3,
'target_kl': None,
'torch_deterministic': True,
'total_timesteps': 10000000,
'track': True,
'update_epochs': 4,
'upload_model': True,
'vf_coef': 0.5,
'wandb_entity': None,
'wandb_project_name': 'cleanRL'}
```
|