Instructions to use Shreyboiii/dqn-pong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Shreyboiii/dqn-pong with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Shreyboiii/dqn-pong", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
DQN Pong Agent
This is a Deep Q-Learning (DQN) agent trained to play PongNoFrameskip-v4 using Stable-Baselines3.
- Environment: PongNoFrameskip-v4
- Algorithm: DQN (Deep Q-Learning)
- Framework: Stable-Baselines3
- Training steps: 100,000
Usage
from stable_baselines3 import DQN
import gym
model = DQN.load("path/to/dqn_pong_model.zip")
env = gym.make("PongNoFrameskip-v4")
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