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
Fang Liu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Fang Liu
53
papers ·
63
citations ·
24
h-index
Huanghuai University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
LLM-Upgraded Graph Reinforcement Learning for Carbon-Aware Job Scheduling in Smart Manufacturing
2025 · 1 citations
An Empirical Study on Failures in Automated Issue Solving
2025
Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an NLL Estimator
2025
Non-additive Security Games
2016
Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks
2017
Information Directed Sampling for Stochastic Bandits with Graph Feedback
2017
A Change-Detection based Framework for Piecewise-stationary Multi-Armed Bandit Problem
2017
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits
2018
Analysis of Thompson Sampling for Graphical Bandits Without the Graphs
2018
Contextual Bandits with Side-Observations
2020
Multi-Armed Bandits with Dependent Arms
2020
Top co-authors
Ness Shroff
· 4
Rahul Singh
· 2
Sinong Wang
· 2
Swapna Buccapatnam
· 2
Atilla Eryilmaz
· 1
Boon Ping Gan
· 1
Joohyun Lee
· 1
Liehao Li
· 1
Li Zhang
· 1
Malcolm Yoke Hean Low
· 1
Mohammad Ghavamzadeh
· 1
Ness B. Shroff
· 1
Topics
Multi-Agent
Exploration
Uncategorized
cs.LG
cs.CL
cs.AI
cs.SE
Game AI
Model-Based RL
Value-Based