Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Krecik940/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Krecik940/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Krecik940/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 753697c72852f03472f58332c1522827161b1a53902c69dd31ba00262976f6a4
- Size of remote file:
- 2.63 kB
- SHA256:
- 521dff51fa775790af34615492c7e0c937c7d745bf4ab599c6ad0b4d44969221
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