Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Ellbendls/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Ellbendls/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Ellbendls/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec28cf38cea3f778571d6dfa42ecf6b1903747ada5e4a6b87c859b9049aaef8a
- Size of remote file:
- 2.39 kB
- SHA256:
- 1fa255ea658597ec18b3107d23b4e96774cf5f4e9f4a57426878f478a07c70ec
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