Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use codeSpaghetti/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use codeSpaghetti/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="codeSpaghetti/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42b8702f07d637a05edb5abcb40b26714e8af7c9e5fb358bcfe447b725ae7367
- Size of remote file:
- 3.06 kB
- SHA256:
- 8738672a899b0abb831f812ab566681b1ef6a108a3092fd7758cede55e1b2107
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