Reinforcement Learning
stable-baselines3
FetchReach-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/tqc-FetchReach-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/tqc-FetchReach-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/tqc-FetchReach-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from sb3/tqc-FetchReach-v1: direct link, hf CLI and curl.
- Browser
- Download file 6.93 kB
-
https://huggingface.co/sb3/tqc-FetchReach-v1/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://sb3/tqc-FetchReach-v1/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/sb3/tqc-FetchReach-v1/resolve/main/vec_normalize.pkl
6.93 kB
- Xet hash:
- 8a0c996530faf063ef1900ff7bf819ea79f99717be154f7db7214c1cc2edb271
- Size of remote file:
- 6.93 kB
- SHA256:
- 0460f13a1f5928944bb140c2f444e230b4176c2d690c906eabbeabcc5094bb0b
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