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
- Xet hash:
- ff3d9ae5abdeb79d110f44016e9799508d78c5763d1633b0158339035f46a558
- Size of remote file:
- 24.7 MB
- SHA256:
- a0fef7b9e07507990a88391378200892dd42cfb6ccd2d14a035c7468e316a331
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