Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use FranticUser/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use FranticUser/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="FranticUser/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd63d2969ddf34cab63788e1fe5529b7b686d5a63e28f37f6fbf09df1863b287
- Size of remote file:
- 114 kB
- SHA256:
- 319f07519d8913fa7a02382cd926779c97ab2b0f0630d863cd6c50f4b3dea37a
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