The Nash equilibrium—a combination of choices by the players of a game from which no
self-interested player would deviate—is the predominant solution concept in game theory …

Most existing results about last-iterate convergence of learning dynamics are limited to two-
player zero-sum games, and only apply under rigid assumptions about what dynamics the …

Participation in permissionless blockchains results in competition over system resources,
which needs to be controlled with fees. Until recently, Ethereum's fee mechanism was …

The recent framework of performative prediction [Perdomo et al. 2020] is aimed at capturing
settings where predictions influence the outcome they want to predict. In this paper, we …

The goal is to investigate the dynamics of banks' share prices and related financials that
lead to potential disruptions to credit and the economy. We adopt a classic macroeconomic …

The online small-signal stability assessment of electrical power grids is typically a
challenging problem due to uncertainties and parameter variations of power system …

In this paper, we study a multi-agent bandit problem in an unknown general-sum game
repeated for a number of rounds (ie, learning in a black-box game with bandit feedback) …

It has become the default in markets such as ad auctions for participants to bid in an auction
through automated bidding agents (autobidders) which adjust bids over time to satisfy return …

Recent studies have raised concerns on the inevitability of chaos in congestion games with
large learning rates. We further investigate this phenomenon by exploring the learning …

Gradient-based optimization has been critical to the success of machine learning, updating
a single set of parameters to minimize a single loss. A growing number of applications rely …