Instructions to use maheeswar/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use maheeswar/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="maheeswar/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
dqn-SpaceInvadersNoFrameskip-v4
This is a trained model of a Reinforcement Learning agent for SpaceInvadersNoFrameskip-v4 using stable-baselines3. Created for the Hugging Face Deep RL Course.
Evaluation Results
- Mean Reward: 350.00 +/- 20.00
- Target Environment:
SpaceInvadersNoFrameskip-v4 - Library:
stable-baselines3 - Model Architecture:
DQN
- Downloads last month
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Evaluation results
- reward on SpaceInvadersNoFrameskip-v4self-reported350.00 +/- 20.00