Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use fimacom/Atai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use fimacom/Atai with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="fimacom/Atai", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a84e7a1062865816ba598c0ef6b5477d4d7dee47d87cb6a0a4a660be9bfe845
- Size of remote file:
- 396 Bytes
- SHA256:
- 47f5d3a3c1767a1af816ab05420858a51137de810d944546ab08ec4fd9d56a4a
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