Awesome Reinforcement Learning
Papers
Topics
Trending
Leaderboards
Authors
Datasets
Learn
Ask AI
Map
Tools
Reading Packs
News
All sections
Browse
Papers
The full index, filterable and sortable.
Topics
The same papers grouped by subject tag.
Trending
What moved this week, and by how much.
Authors
Who publishes here, and who they publish with.
Map
The collection laid out by embedding similarity.
Compare
Leaderboards
Benchmark tables, with the paper behind each number.
Datasets
The datasets these papers train and evaluate on.
Tools
Code and libraries released alongside the papers.
Read
Learn
Ordered routes from background reading to current work.
Ask AI
Ask a question and get answers cited to these papers.
Videos
The most-watched talks and lectures in this field.
Reading Packs
Short curated sets built around one question.
Follow
News
Press and coverage tied back to the papers.
Blogs
Author and lab write-ups of their own work.
Newsletter
Email digest of what changed, on a schedule.
Research Radar
Paste an abstract, get matches across every collection.
Yours
Saved
Papers you bookmarked in this browser.
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
Ask AI
Yan Shuo Tan — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yan Shuo Tan
5
papers ·
0
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
PFN-TS: Thompson Sampling for Contextual Bandits via Prior-Data Fitted Networks
2026
On the Statistical Optimality of Optimal Decision Trees
2026
BFTS: Thompson Sampling with Bayesian Additive Regression Trees
2026
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
2021
Top co-authors
Bibhas Chakraborty
· 2
Ruizhe Deng
· 2
Abhineet Agarwal
· 1
Bin Yu
· 1
Kenyon Ng
· 1
Qiong Zhang
· 1
Ran Chen
· 1
Subhro Ghosh
· 1
Sumetha Loganathan
· 1
Zineng Xu
· 1
Topics
stat.ML
cs.LG
math.ST
stat.TH
stat.ME
cs.IT
math.IT