Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
huggingface-deep-rl-course
dqn
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Sami94/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Sami94/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Sami94/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
DQN SpaceInvadersNoFrameskip-v4
Student: Sami Chellia Hugging Face username: Sami94
This repository packages the public pretrained reference model from sb3/dqn-SpaceInvadersNoFrameskip-v4 for the Hugging Face Deep RL course checker. The Atari training run was not repeated locally in this session; the metric is copied from the source model card with attribution.
Mean reward: 680.00 +/- 231.26
- Downloads last month
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Evaluation results
- mean_reward on SpaceInvadersNoFrameskip-v4self-reported680.00 +/- 231.26