Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use peerawatchomp/DRL_unit1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use peerawatchomp/DRL_unit1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="peerawatchomp/DRL_unit1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e384b3aaef98a8332810b2b9f26c387cb2f6e57cb55bffd4eef7656af56e59e
- Size of remote file:
- 88.4 kB
- SHA256:
- ac38e567b9ad10a71a9cfb961b9ffd03925f7831e332b57d5bde1dedf53a2700
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.