Reinforcement Learning
stable-baselines3
Walker2DBulletEnv-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/tqc-Walker2DBulletEnv-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/tqc-Walker2DBulletEnv-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/tqc-Walker2DBulletEnv-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3a17d34dd889d85f0b75d19255124730bbdd8c509fea029e1e4ee643bf10678
- Size of remote file:
- 95.5 kB
- SHA256:
- 03570c634757a8e48c5f7fc747d3b1ab65636993a6d180adc9df3edeb40e309d
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