Reinforcement Learning
stable-baselines3
PandaStack-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/tqc-PandaStack-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/tqc-PandaStack-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/tqc-PandaStack-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit ·
91037b5
1
Parent(s): 374f867
Add link to Panda Gym paper (#1)
Browse files- Add link to Panda Gym paper (1d56cbf0d6d6d828cb7a48fc3deb69f6575a2c20)
README.md
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@@ -65,3 +65,5 @@ OrderedDict([('batch_size', 2048),
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('tau', 0.05),
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('normalize', False)])
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```
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('tau', 0.05),
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('normalize', False)])
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```
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Panda Gym environments: [arxiv.org/abs/2106.13687](https://arxiv.org/abs/2106.13687)
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