Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use flexyw1be/PandaReachDense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use flexyw1be/PandaReachDense with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="flexyw1be/PandaReachDense", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb25630677e17407a65f1145f764bd779f82d840f2dcf0b1e7f28aea68c5538c
- Size of remote file:
- 2.64 kB
- SHA256:
- ba6b69fc9d5f7b3e1dc5b1cf9579ae864eb12a789e3fc3af2ded8308fb434960
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