Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ManarAli/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ManarAli/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ManarAli/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcfad9c704883ed97664cbc673be4154360c84277bdfbfffb8f582dba83d793a
- Size of remote file:
- 3.06 kB
- SHA256:
- 8716285b0cc38277c9acbb584d1533ce76cb7b0f14d86b93d859dfdc4c3f75d3
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