Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ElementBrawlerAI/tqc-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ElementBrawlerAI/tqc-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ElementBrawlerAI/tqc-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a86fdcfea0c1cf7a41e304eb7ba2b1b9d4681ab1c959e8f241b1b07475f77247
- Size of remote file:
- 3.06 kB
- SHA256:
- 74b60924614906d6235af72d233961c9d9500b409f165cd50b223b4dde714ab7
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