activity
19932023
most citedTowards the Science of Security and Privacy in Machine Learning

193 citations · 950 across the 37 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.MA2021

Empirical Game-Theoretic Analysis for Mean Field Games

Yongzhao Wang, Michael P. Wellman

We present a simulation-based approach for solution of mean field games (MFGs), using the framework of empirical game-theoretical analysis (EGTA). Our primary method employs a vers…

cs.GT2021★ 1 cited

Designing a Combinatorial Financial Options Market

Xintong Wang, David M. Pennock, Nikhil R. Devanur +3

Financial options are contracts that specify the right to buy or sell an underlying asset at a strike price by an expiration date. Standard exchanges offer options of predetermined…

cs.MA2021★ 3 cited

Iterative Empirical Game Solving via Single Policy Best Response

Max Olan Smith, Thomas Anthony, Michael P. Wellman

Policy-Space Response Oracles (PSRO) is a general algorithmic framework for learning policies in multiagent systems by interleaving empirical game analysis with deep reinforcement…

cs.MA2021★ 1 cited

Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis

Yongzhao Wang, Qiurui Ma, Michael P. Wellman

In empirical game-theoretic analysis (EGTA), game models are extended iteratively through a process of generating new strategies based on learning from experience with prior strate…

cs.GT2021

A Game-Theoretic Approach for Hierarchical Epidemic Control

Feiran Jia, Aditya Mate, Zun Li +5

We design and analyze a multi-level game-theoretic model of hierarchical policy interventions for epidemic control, such as those in response to the COVID-19 pandemic. Our model ca…