Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Sympan/DeepQ_Atari_SpaceInv4_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Sympan/DeepQ_Atari_SpaceInv4_v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Sympan/DeepQ_Atari_SpaceInv4_v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fe8c4e8282ec962644f9dfd7db6b41a1d253b99d52d6f4ad695fe25cee59f23
- Size of remote file:
- 244 kB
- SHA256:
- d87da84ab44317659146adf6cde3ba03d8a431177d158649552d792cc5b6fe89
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.