Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Apocalypse-19/a2c-SpiderWalk-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Apocalypse-19/a2c-SpiderWalk-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Apocalypse-19/a2c-SpiderWalk-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Apocalypse-19/a2c-SpiderWalk-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.17 kB
-
https://huggingface.co/Apocalypse-19/a2c-SpiderWalk-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Apocalypse-19/a2c-SpiderWalk-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Apocalypse-19/a2c-SpiderWalk-v2/resolve/main/vec_normalize.pkl
2.17 kB
- Xet hash:
- 333785d21c59b667cb67c0b0f023e58d827793bb653d165da621607ac7a11848
- Size of remote file:
- 2.17 kB
- SHA256:
- 5de0475b2a934ae97bdbd35a5a3bd7d6e5c77b2b3454365e11c353f88a017976
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