Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Sung-Hyun Son — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sung-Hyun Son
1
papers ·
15
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning
2019 · 15 citations
Top co-authors
Andrew Silva
· 1
Ivan Dario Jimenez Rodriguez
· 1
Matthew Gombolay
· 1
Taylor Killian
· 1
Topics
Policy Gradient
Model-Based RL