Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use mrbesher/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mrbesher/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mrbesher/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7965ebe93f8240a259e3f1280eda13f3040ba3c0b76a13d022d1dae16e14ac9e
- Size of remote file:
- 2.65 kB
- SHA256:
- 843d64bd67ccb0f209948d7fe3559213f48a35db0311411909ad488466e70f5a
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