metadata
tags:
- CartPole-v1
- deep-q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: dqn-cartpole
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_reward
value: 500.00 +/- 0.00
name: mean_reward
verified: false
# **Deep Q-Learning** Agent playing **CartPole-v1**
This is a trained model of a **Deep Q-Learning** agent playing **CartPole-v1**.
## Usage
```python
from huggingface_hub import hf_hub_download
import torch
from dqn_model import DQN
model_path = hf_hub_download(repo_id="figurek1m/dqn-cartpole", filename="dqn_cartpole.pth")
q_network = DQN(input_dim=4, output_dim=2)
q_network.load_state_dict(torch.load(model_path))
q_network.eval()
env = gym.make("CartPole-v1")
```