Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use mark-e/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mark-e/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mark-e/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 047ced618c4253dbaa854b4c71f8ab89e773e493c67f1d6d2448585ddc61c6e3
- Size of remote file:
- 3.06 kB
- SHA256:
- 00b791faf496f212d11c13997f569988b54a618fc98dd865d85edff5e4e755ad
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