|
--- |
|
tags: |
|
- CartPole-v1 |
|
- deep-reinforcement-learning |
|
- reinforcement-learning |
|
- custom-implementation |
|
model-index: |
|
- name: DQN |
|
results: |
|
- task: |
|
type: reinforcement-learning |
|
name: reinforcement-learning |
|
dataset: |
|
name: CartPole-v1 |
|
type: CartPole-v1 |
|
metrics: |
|
- type: mean_reward |
|
value: 65.80 +/- 13.11 |
|
name: mean_reward |
|
verified: false |
|
--- |
|
|
|
# (CleanRL) **DQN** Agent Playing **CartPole-v1** |
|
|
|
This is a trained model of a DQN agent playing CartPole-v1. |
|
The model was trained by using [CleanRL](https://github.com/vwxyzjn/cleanrl) and the training code can be |
|
found [here](https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl/dqn.py). |
|
|
|
## Command to reproduce the training |
|
|
|
```bash |
|
curl -OL https://huggingface.co/vwxyzjn/CartPole-v1-dqn-seed1/raw/main/dqn.py |
|
curl -OL https://huggingface.co/vwxyzjn/CartPole-v1-dqn-seed1/raw/main/pyproject.toml |
|
curl -OL https://huggingface.co/vwxyzjn/CartPole-v1-dqn-seed1/raw/main/poetry.lock |
|
poetry install --all-extras |
|
python dqn.py --cuda False --save-model --upload-model --total-timesteps 500 |
|
``` |
|
|
|
# Hyperparameters |
|
```python |
|
{'batch_size': 128, |
|
'buffer_size': 10000, |
|
'capture_video': False, |
|
'cuda': False, |
|
'end_e': 0.05, |
|
'env_id': 'CartPole-v1', |
|
'exp_name': 'dqn', |
|
'exploration_fraction': 0.5, |
|
'gamma': 0.99, |
|
'hf_entity': '', |
|
'learning_rate': 0.00025, |
|
'learning_starts': 10000, |
|
'save_model': True, |
|
'seed': 1, |
|
'start_e': 1, |
|
'target_network_frequency': 500, |
|
'torch_deterministic': True, |
|
'total_timesteps': 500, |
|
'track': False, |
|
'train_frequency': 10, |
|
'upload_model': True, |
|
'wandb_entity': None, |
|
'wandb_project_name': 'cleanRL'} |
|
``` |
|
|
