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
John Lygeros — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
John Lygeros
9
papers ·
34
citations ·
76
h-index
ETH Zurich · ZTE (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning from Simulation, Racing in Reality
2020 · 32 citations
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
2022 · 1 citations
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
2026
Implications of Regret on Stability of Linear Dynamical Systems
2022
Top co-authors
Alisa Rupenyan
· 2
Alexander Liniger
· 1
Anastasios Tsiamis
· 1
Andrea Iannelli
· 1
Andrea Martinelli
· 1
Andrea Zanelli
· 1
Aren Karapetyan
· 1
Efe Balta
· 1
Efe C. Balta
· 1
Eugenio Chisari
· 1
Luc Van Gool
· 1
Matilde Gargiani
· 1
Topics
Safe RL
Model-Based RL
Policy Gradient
cs.AI
math.OC
Value-Based