Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MrDivakaruni/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MrDivakaruni/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MrDivakaruni/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 522db55d7fbd7a7ca0aae1cb60b1e95c3739ffb3c53ae5807e3fb1f9f5eabc8a
- Size of remote file:
- 3.06 kB
- SHA256:
- cd011197523076c24679c000b4d558e0374173bb7932d809a6f83471028c3460
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