Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use nbiish/LearnHF-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use nbiish/LearnHF-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="nbiish/LearnHF-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit History
The key is a while loop on the mean_reward variable when evaluating your agent🥰📚 094b889
The key is a while loop on the mean_reward variable when evaluating your agent🥰📚 e34e8b8
The key is a while loop on the mean_reward variable when evaluating your agent🥰📚 fab08d6
Training more and learning the routine 6506c41
Training more and learning the routine e1fc29b
Training more and learning the routine 1a708dc
Trained 1mil steps once - LunarLander-v2 trained agent 3db2cc2
initial commit a97c6f3
Nbiish Kenwabikise commited on