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
Michael P. Wellman — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Michael P. Wellman
4
papers ·
4
citations ·
57
h-index
University of Michigan · Michigan United
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Iterative Empirical Game Solving via Single Policy Best Response
2021 · 3 citations
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning
2024 · 1 citations
Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO
2025
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
2023
Top co-authors
Zun Li
· 2
Christine Konicki
· 1
Daniel Hennes
· 1
Ian Gemp
· 1
Kate Larson
· 1
Kevin R. McKee
· 1
Luke Marris
· 1
Marc Lanctot
· 1
Max Olan Smith
· 1
Mithun Chakraborty
· 1
Paul Muller
· 1
Thomas Anthony
· 1
Topics
Game AI
Multi-Agent
Model-Based RL
Policy Gradient
Value-Based
Meta-RL