Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use vind/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use vind/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="vind/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e77c5ee4a6f7fb2426aa081837aa3bbcd80c83305070213fc0af8c9990809cda
- Size of remote file:
- 108 kB
- SHA256:
- 084f4645e14adeb8dac4692c1477741bebbdd53d110000dd578f1c1a1a4fc5f3
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