Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jacksonhack/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jacksonhack/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jacksonhack/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c275421fbf42619418c33731d0b5b0f264a7f7a89d527f8751263cde2449d805
- Size of remote file:
- 2.63 kB
- SHA256:
- d47320e11154f654b73f0f64b0f3d1ffd545a19ce1d38de304d1cbb2f77fed10
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