Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use SimingSiming/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SimingSiming/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SimingSiming/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79b6ec3e719287c531a5a52dac71dcc808330e6601dd146952c9ebc528b7d985
- Size of remote file:
- 1.04 MB
- SHA256:
- 703b3a313c7dff91afed11539143e2cc91a9d1072c61d3da3e37f579a6c434b9
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