Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use yojitha/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use yojitha/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="yojitha/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
dqn-SpaceInvadersNoFrameskip-v4
Trained DQN agent playing SpaceInvadersNoFrameskip-v4 for Hugging Face Deep RL Course Unit 3.
This model was trained as part of the Hugging Face Deep Reinforcement Learning Course.
Model Details
- User: yojitha
- Course Unit: Unit 3
- Task: Reinforcement Learning
- Downloads last month
- 8
Evaluation results
- mean_reward on SpaceInvadersNoFrameskip-v4self-reported680.00 +/- 231.26