Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DitDahDitDit/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DitDahDitDit/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DitDahDitDit/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed87f6e14a92efc5a04365c7a4c2eb237b4dfa4b767c49a66a3b3b55efeded71
- Size of remote file:
- 2.71 kB
- SHA256:
- 219bcdee91b9117851763b36397698f112d683bd74fe922791d7b6a989c5d120
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