Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use diskya/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use diskya/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="diskya/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54a48df8a1ba2794d1495ab5a20bdb4ddc0cacbd92dae8444c6021786cc34704
- Size of remote file:
- 2.65 kB
- SHA256:
- 69cb38c8f2fc55459897bdf4fdbc6a92d4275e79c6e7c3317accc04f382cb2bd
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