Reinforcement Learning
stable-baselines3
FetchPickAndPlaceDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Riad/A2C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Riad/A2C with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Riad/A2C", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6cce417a4e48cd6c76adb4294bdd09e33b39a4be93926f407dfbc2cf2d23889
- Size of remote file:
- 3.58 kB
- SHA256:
- 5f4b0d30384dc50b8af5c6e21e2b14bf0f8983ed33948a772fe661f6693fb59b
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