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:
- 65d8b625233fa5aa4c648cca727291c03b7dc90d1bd29caa342c9c6b7e9ad839
- Size of remote file:
- 2.64 kB
- SHA256:
- 751172328a1ff535d448d2b667c2bd186883971bd222613b0222ccf1262f7066
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