Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AngelUrq/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AngelUrq/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AngelUrq/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52792c0e75e110ddc17467e83da339ac74bb3dc97b9e843843264f06c3971c3d
- Size of remote file:
- 3.06 kB
- SHA256:
- e598a52cfabaf9542065de9cd2a0cd37fa4bd65a13c38064bbb5dd4b80e8fe31
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