no code implementations • 4 Jun 2022 • Dustin Morrill, Esra'a Saleh, Michael Bowling, Amy Greenwald
Neural replicator dynamics (NeuRD) is an alternative to the foundational softmax policy gradient (SPG) algorithm motivated by online learning and evolutionary game theory.
no code implementations • AAAI Workshop AdvML 2022 • Denizalp Goktas, Jiayi Zhao, Amy Greenwald
In this paper, we investigate the behavior of no-regret learning in min-max games with dependent strategy sets, where the strategy of the first player constrains the behavior of the second.
no code implementations • NeurIPS 2021 • Denizalp Goktas, Amy Greenwald
Min-max optimization problems (i. e., min-max games) have been attracting a great deal of attention because of their applicability to a wide range of machine learning problems.
1 code implementation • 13 Feb 2021 • Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald
Hindsight rationality is an approach to playing general-sum games that prescribes no-regret learning dynamics for individual agents with respect to a set of deviations, and further describes jointly rational behavior among multiple agents with mediated equilibria.
1 code implementation • 10 Dec 2020 • Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling
This approach also leads to a game-theoretic analysis, but in the correlated play that arises from joint learning dynamics rather than factored agent behavior at equilibrium.
no code implementations • 16 Jan 2014 • Amy Greenwald, Seong Jae Lee, Victor Naroditskiy
In this paper, we describe our autonomous bidding agent, RoxyBot, who emerged victorious in the travel division of the 2006 Trading Agent Competition in a photo finish.
no code implementations • NeurIPS 2012 • Amy Greenwald, Jiacui Li, Eric Sodomka
In many large economic markets, goods are sold through sequential auctions.