Reinforcement Learning
stable-baselines3
AntBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use NikitaErmolaev/a2c-AntBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use NikitaErmolaev/a2c-AntBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="NikitaErmolaev/a2c-AntBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c6d6a7a2c9dbe1c2619f540129fc996ebb8016e6646cdf2d789eb543e49a36d
- Size of remote file:
- 2.76 kB
- SHA256:
- 076436f5557bfe94dd865e5d0816802d8dd0bc4cf7079fb8d6385d53180e5d12
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