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
Liam Paull — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Liam Paull
21
papers ·
67
citations ·
31
h-index
Université de Montréal
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
2022 · 15 citations
Curriculum in Gradient-Based Meta-Reinforcement Learning
2020 · 8 citations
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads
2023 · 8 citations
Generating Automatic Curricula via Self-Supervised Active Domain Randomization
2020 · 5 citations
NeurIPS 2022 Competition: Driving SMARTS
2022 · 2 citations
SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration
2026
Constrained Group Relative Policy Optimization
2026
Safety Representations for Safer Policy Learning
2025
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
2024
Top co-authors
Vincent Mai
· 4
Kaustubh Mani
· 3
Bhairav Mehta
· 2
Florian Golemo
· 2
Roger Girgis
· 2
Sharath Chandra Raparthy
· 2
Adam Scibior
· 1
Amir Rasouli
· 1
and Xi Chen
· 1
Animesh Garg
· 1
Annie Chen
· 1
Anthony Gosselin
· 1
Topics
Policy Gradient
Safe RL
Exploration
Model-Based RL
Multi-Agent
Meta-RL
Offline RL
Value-Based