Michael Wellman

Michael Wellman

University of Michigan

H-index: 73

North America-United States

About Michael Wellman

Michael Wellman, With an exceptional h-index of 73 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Artificial Intelligence, Computational Finance, Computational Game Theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis

A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning

Empirical Game-Theoretic Analysis: A Survey

Combining tree-search, generative models, and nash bargaining concepts in game-theoretic reinforcement learning

Strategic knowledge transfer

Flagging Payments for Fraud Detection: A Strategic Agent-Based Model

Learning to Manipulate a Financial Benchmark

Learning to play against any mixture of opponents

Michael Wellman Information

University

Position

Professor of Computer Science & Engineering

Citations(all)

22257

Citations(since 2020)

5521

Cited By

19196

hIndex(all)

73

hIndex(since 2020)

27

i10Index(all)

202

i10Index(since 2020)

78

Email

University Profile Page

Google Scholar

Michael Wellman Skills & Research Interests

Artificial Intelligence

Computational Finance

Computational Game Theory

Top articles of Michael Wellman

Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis

2024/5/6

A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning

arXiv preprint arXiv:2405.00243

2024/4/30

Empirical Game-Theoretic Analysis: A Survey

arXiv preprint arXiv:2403.04018

2024/3/6

Combining tree-search, generative models, and nash bargaining concepts in game-theoretic reinforcement learning

arXiv preprint arXiv:2302.00797

2023/2/1

Strategic knowledge transfer

Journal of Machine Learning Research

2023

Flagging Payments for Fraud Detection: A Strategic Agent-Based Model

2023

Learning to Manipulate a Financial Benchmark

2023/11/27

Learning to play against any mixture of opponents

Frontiers in Artificial Intelligence

2023/7/20

Game Model Learning for Mean Field Games

2023/5/30

Co-Learning Empirical Games and World Models

arXiv preprint arXiv:2305.14223

2023/5/23

Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis

arXiv preprint arXiv:2302.04928

2023/2/9

Exploiting extensive-form structure in empirical game-theoretic analysis

2022/12/9

Empirical Game-Theoretic Analysis for Mean Field Games

arXiv preprint arXiv:2112.00900

2021/12/2

Stability effects of arbitrage in exchange traded funds: An agent-based model

2021/11/3

An agent-based model of strategic adoption of real-time payments

2021/11/3

A strategic analysis of portfolio compression

2021/11/3

Designing a Combinatorial Financial Options Market

2021/7/18

Iterative empirical game solving via single policy best response

arXiv preprint arXiv:2106.01901

2021/6/3

Spoofing the limit order book: A strategic agent-based analysis

Games

2021/5/24

Evaluating strategy exploration in empirical game-theoretic analysis

arXiv preprint arXiv:2105.10423

2021/5/21

See List of Professors in Michael Wellman University(University of Michigan)

Co-Authors

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