Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ree2raz/deep-rl-hf-learn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ree2raz/deep-rl-hf-learn with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ree2raz/deep-rl-hf-learn", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d348eae3eaafee964b24bda5ca092979e4758c9d96a15e287b1d85e709bb6080
- Size of remote file:
- 88.4 kB
- SHA256:
- 8f6baf323afc5f06be001ad018720fa6a114e5cd576455ca8f81263f178b57ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.