Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DeepRoller/rl-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DeepRoller/rl-model with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DeepRoller/rl-model", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ceca834d61389e17faef87ccb0e731961a661b9f04bc27d081f5ae5dd1d1d5d
- Size of remote file:
- 143 kB
- SHA256:
- 43bddf7a02e592b5cf11e720b62cd7f5499e02323afebd0876292a950e632324
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.