Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MoadJ/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MoadJ/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MoadJ/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 862f1eefc7bfeb270126c8c6a8a32593d55e8da85b0a1a2e677aa1f6dd390530
- Size of remote file:
- 2.64 kB
- SHA256:
- 8c7c674eaba517df609bc2d64b57a5a5f11b48040d1fbd7c0f99a4167cac5eb8
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