Fetching the paper…
Reading the bibliography…
This paper proposes and studies a class of discrete-time finite-time-horizon Stackelberg mean-field games, with one leader and an infinite number of identical and indistinguishable followers.
A behavioral model of rational choice
Herbert A Simon · 1955
Earlier work this paper cites.
Linear and Nonlinear Programming
David G Luenberger and Yinyu Ye · 1984
Earlier work this paper cites.
Aggregation and linearity in the provision of intertemporal incentives
Bengt Holmstrom and Paul Milgrom · 1987
Earlier work this paper cites.
Rationality and bounded rationality
Robert J Aumann · 1997
Earlier work this paper cites.
Bounded rationality
Bryan D Jones · 1999
Earlier work this paper cites.
Complexity of mechanism design
Vincent Conitzer and Tuomas Sandholm · 2002
Earlier work this paper cites.
Maps of bounded rationality: Psychology for behavioral economics
Daniel Kahneman · 2003
Earlier work this paper cites.
Bounded rationality, standard form contracts, and unconscionability
Russell Korobkin · 2003
Earlier work this paper cites.
Computing the optimal strategy to commit to
Vincent Conitzer and Tuomas Sandholm · 2006
Earlier work this paper cites.
A continuous-time version of the principal-agent problem
Yuliy Sannikov · 2008
Earlier work this paper cites.
Learning and approximating the optimal strategy to commit to
Joshua Letchford, Vincent Conitzer, and Kamesh Munagala · 2009
Earlier work this paper cites.
Large-population lqg games involving a major player: the Nash certainty equivalence principle
Minyi Huang · 2010
Earlier work this paper cites.
Computing optimal strategies to commit to in extensive-form games
Joshua Letchford and Vincent Conitzer · 2010
Earlier work this paper cites.
Stackelberg vs. Nash in security games: An extended investigation of interchangeability, equivalence, and uniqueness
Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintveld, Vincent Conitzer, and Milind Tambe · 2011
Earlier work this paper cites.
Security and game theory: algorithms, deployed systems, lessons learned
Milind Tambe · 2011
Earlier work this paper cites.
Linear-quadratic-gaussian mixed games with continuum-parametrized minor players
Son Luu Nguyen and Minyi Huang · 2012
Earlier work this paper cites.
ϵ \epsilon -Nash mean field game theory for nonlinear stochastic dynamical systems with major and minor agents
Mojtaba Nourian and Peter E Caines · 2013
Earlier work this paper cites.
Learning optimal commitment to overcome insecurity
Avrim Blum, Nika Haghtalab, and Ariel D Procaccia · 2014
Earlier work this paper cites.
Computational rationality: Linking mechanism and behavior through bounded utility maximization
Richard L Lewis, Andrew Howes, and Satinder Singh · 2014
Cited alongside, same era.
Mean field Stackelberg games: Aggregation of delayed instructions
Alain Bensoussan, Michael HM Chau, and Sheung Chi Phillip Yam · 2015
Cited alongside, same era.
Mean field games with a dominating player
Alain Bensoussan, Michael HM Chau, and Sheung CP Yam · 2016
Cited alongside, same era.
Finite state mean field games with major and minor players
Rene Carmona and Peiqi Wang · 2016
Cited alongside, same era.
Linear-quadratic mean field stackelberg games with state and control delays
Alain Bensoussan, MHM Chau, Y Lai, and Sheung Chi Phillip Yam · 2017
Cited alongside, same era.
A variational inequality perspective on generative adversarial networks
Mean field Stackelberg games: State feedback equilibrium
Minyi Huang and Xuwei Yang · 2020
Later among the works it cites.
Multi-leader multi-follower Stackelberg game in mobile blockchain mining
Suhan Jiang, Xinyi Li, and Jie Wu · 2020
Later among the works it cites.
What is local optimality in nonconvex-nonconcave minimax optimization?
Chi Jin, Praneeth Netrapalli, and Michael Jordan · 2020
Later among the works it cites.
On gradient descent ascent for nonconvex-concave minimax problems
Tianyi Lin, Chi Jin, and Michael Jordan · 2020
Later among the works it cites.
Near-optimal algorithms for minimax optimization
Tianyi Lin, Chi Jin, and Michael I Jordan · 2020
Later among the works it cites.
Fictitious play for mean field games: Continuous time analysis and applications
Sarah Perrin, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Romuald Elie, and Olivier Pietquin · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Gauthier Gidel, Hugo Berard, Gaëtan Vignoud, Pascal Vincent, and Simon Lacoste-Julien · 2018
Cited alongside, same era.
Linear quadratic mean field Stackelberg differential games
Jun Moon and Tamer Başar · 2018
Cited alongside, same era.
Adapting attackers and defenders patrolling strategies: A reinforcement learning approach for Stackelberg security games
Kristal K Trejo, Julio B Clempner, and Alexander S Poznyak · 2018
Cited alongside, same era.
Reducing noise in GAN training with variance reduced extragradient
Tatjana Chavdarova, Gauthier Gidel, François Fleuret, and Simon Lacoste-Julien · 2019
Cited alongside, same era.
A tale of a principal and many, many agents
Romuald Elie, Thibaut Mastrolia, and Dylan Possamaï · 2019
Cited alongside, same era.
Convergence of learning dynamics in Stackelberg games
Tanner Fiez, Benjamin Chasnov, and Lillian J Ratliff · 2019
Cited alongside, same era.
Learning mean-field games
Xin Guo, Anran Hu, Renyuan Xu, and Junzi Zhang · 2019
Cited alongside, same era.
Later among the works it cites.
The AI economist: Improving equality and productivity with AI-driven tax policies
Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C Parkes, and Richard Socher · 2020
Later among the works it cites.
Sample-efficient learning of Stackelberg equilibria in general-sum games
Yu Bai, Chi Jin, Huan Wang, and Caiming Xiong · 2021
Later among the works it cites.
Deep learning for principal-agent mean field games
Steven Campbell, Yichao Chen, Arvind Shrivats, and Sebastian Jaimungal · 2021
Later among the works it cites.
Mean–field moral hazard for optimal energy demand response management
Romuald Elie, Emma Hubert, Thibaut Mastrolia, and Dylan Possamaï · 2021
Later among the works it cites.
Fast extra gradient methods for smooth structured nonconvex-nonconcave minimax problems
Sucheol Lee and Donghwan Kim · 2021
Later among the works it cites.
Scaling up mean field games with online mirror descent
Julien Perolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, and Olivier Pietquin · 2021
Later among the works it cites.
Linear quadratic mean field Stackelberg games: Master equations and time consistent feedback strategies
Xuwei Yang and Minyi Huang · 2021
Later among the works it cites.
Han Zhong, Zhuoran Yang, Zhaoran Wang, and Michael I Jordan · 2021
Later among the works it cites.
Optimal incentives to mitigate epidemics: a Stackelberg mean field game approach
Alexander Aurell, Rene Carmona, Gokce Dayanikli, and Mathieu Lauriere · 2022
Closest in time.
MF-OMO: An optimization formulation of mean-field games
Xin Guo, Anran Hu, and Junzi Zhang · 2022
Closest in time.
Agency problem and mean field system of agents with moral hazard, synergistic effects and accidents
Thibaut Mastrolia and Jiacheng Zhang · 2022
Closest in time.