Amy Greenwald

Amy Greenwald

Brown University

H-index: 31

North America-United States

About Amy Greenwald

Amy Greenwald, With an exceptional h-index of 31 and a recent h-index of 18 (since 2020), a distinguished researcher at Brown University, specializes in the field of Artificial Intelligence, Multi-agent Systems, Internet Economics.

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

Banzhaf Power in Hierarchical Games

Convex-Concave Zero-Sum Stochastic Stackelberg Games

Convex-Concave Zero-sum Markov Stackelberg Games

Generative Adversarial Inverse Multiagent Learning

Tâtonnement in homothetic fisher markets

Fisher markets with social influence

Learning Properties in Simulation-Based Games

Computing Boundary Crossing Probabilities of General Empirical Processes

Amy Greenwald Information

University

Position

Professor of Computer Science

Citations(all)

4477

Citations(since 2020)

1051

Cited By

3794

hIndex(all)

31

hIndex(since 2020)

18

i10Index(all)

65

i10Index(since 2020)

28

Email

University Profile Page

Brown University

Google Scholar

View Google Scholar Profile

Amy Greenwald Skills & Research Interests

Artificial Intelligence

Multi-agent Systems

Internet Economics

Top articles of Amy Greenwald

Title

Journal

Author(s)

Publication Date

Banzhaf Power in Hierarchical Games

John Randolph

Amy Greenwald

Denizalp Goktas

2024/5/6

Convex-Concave Zero-Sum Stochastic Stackelberg Games

Advances in Neural Information Processing Systems

Denizalp Goktas

Arjun Prakash

Amy Greenwald

2024/2/13

Convex-Concave Zero-sum Markov Stackelberg Games

arXiv preprint arXiv:2401.12437

Denizalp Goktas

Arjun Prakash

Amy Greenwald

2024/1/23

Generative Adversarial Inverse Multiagent Learning

Denizalp Goktas

Amy Greenwald

Sadie Zhao

Alec Koppel

Sumitra Ganesh

2023/10/13

Tâtonnement in homothetic fisher markets

Denizalp Goktas

Jiayi Zhao

Amy Greenwald

2023/7

Fisher markets with social influence

Proceedings of the AAAI Conference on Artificial Intelligence

Jiayi Zhao

Denizalp Goktas

Amy Greenwald

2023/6/26

Learning Properties in Simulation-Based Games

Cyrus Cousins

Bhaskar Mishra

Enrique Areyan Viqueira

Amy Greenwald

2023/5/30

Computing Boundary Crossing Probabilities of General Empirical Processes

Rigel Galgana

Takehiro Oyakawa

Amy Greenwald

2023

Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections

Dustin Morrill

Ryan D’Orazio

Marc Lanctot

James R Wright

Michael Bowling

...

2021/7/1

Zero-sum stochastic stackelberg games

Advances in Neural Information Processing Systems

Denizalp Goktas

Sadie Zhao

Amy Greenwald

2022/12/6

Cost Function Based Prediction Markets Aggregate Risk-Averse Experts’ Beliefs as Opinion Pools

JACK CIABATON

AMY GREENWALD

JACK FANNING

2022/5

Regret Pruning for Learning Equilibria in Simulation-Based Games

arXiv preprint arXiv:2211.16670

Bhaskar Mishra

Cyrus Cousins

Amy Greenwald

2022/11/30

Robust no-regret learning in min-max Stackelberg games

arXiv preprint arXiv:2203.14126

Denizalp Goktas

Jiayi Zhao

Amy Greenwald

2022/3/26

Gradient descent ascent in min-max Stackelberg games

arXiv preprint arXiv:2208.09690

Denizalp Goktas

Amy Greenwald

2022/8/20

Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games

arXiv preprint arXiv:2208.06400

Cyrus Cousins

Bhaskar Mishra

Enrique Areyan Viqueira

Amy Greenwald

2022/8/12

Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration

arXiv preprint arXiv:2206.02036

Dustin Morrill

Esra' Saleh

Michael Bowling

Amy Greenwald

2022/6/4

Exploitability minimization in games and beyond

Advances in Neural Information Processing Systems

Denizalp Goktas

Amy Greenwald

2022/12/6

A Dynamic Program for Computing the Joint Cumulative Distribution Function of Order Statistics

Rigel Galgana

Cengke Shi

Amy Greenwald

Takehiro Oyakawa

2021

A Dynamic Programming Algorithm to Compute Joint Distribution of Order Statistics on Graphs

arXiv preprint arXiv:2111.10939

Rigel Galgana

Amy Greenwald

Takehiro Oyakawa

2021/11/22

The Partially Observable History Process

arXiv preprint arXiv:2111.08102

Dustin Morrill

Amy R Greenwald

Michael Bowling

2021/11/15

See List of Professors in Amy Greenwald University(Brown University)