Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use PranayPalem/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use PranayPalem/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="PranayPalem/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5f14c405f6bed30bfc66d81818ac4f8a60419c6ff800c67e34d218221f8cb1d
- Size of remote file:
- 2.64 kB
- SHA256:
- 909a21cf9e4983178c2245741c4cd43c44025c3665a288cfeb9f34c100c31416
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