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Learning Optimal Tax Design in Nonatomic Congestion Games
v1v2 (latest)

Learning Optimal Tax Design in Nonatomic Congestion Games

Neural Information Processing Systems (NeurIPS), 2024
12 February 2024
Qiwen Cui
Maryam Fazel
S. S. Du
ArXiv (abs)PDFHTMLGithub

Papers citing "Learning Optimal Tax Design in Nonatomic Congestion Games"

13 / 13 papers shown
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
Antoine Scheid
Aymeric Capitaine
Etienne Boursier
Eric Moulines
Michael I. Jordan
Alain Durmus
448
7
0
28 Jun 2024
Adaptive Incentive Design with Learning Agents
Adaptive Incentive Design with Learning Agents
C. Maheshwari
Kshitij Kulkarni
Manxi Wu
S. Shankar Sastry
391
6
0
26 May 2024
Taming the Exponential Action Set: Sublinear Regret and Fast Convergence
  to Nash Equilibrium in Online Congestion Games
Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games
Jing Dong
Jingyu Wu
Si-Yi Wang
Baoxiang Wang
Wei Chen
234
5
0
19 Jun 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With
  Equilibrium Constraints
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium ConstraintsInternational Conference on Machine Learning (ICML), 2023
Jiayang Li
Jiahao Yu
Boyi Liu
Zhaoran Wang
Y. Nie
320
10
0
20 Feb 2023
Online Learning in Stackelberg Games with an Omniscient Follower
Online Learning in Stackelberg Games with an Omniscient FollowerInternational Conference on Machine Learning (ICML), 2023
Geng Zhao
Banghua Zhu
Jiantao Jiao
Michael I. Jordan
768
20
0
27 Jan 2023
Offline congestion games: How feedback type affects data coverage
  requirement
Offline congestion games: How feedback type affects data coverage requirementInternational Conference on Learning Representations (ICLR), 2022
Haozhe Jiang
Qiwen Cui
Zhihan Xiong
Maryam Fazel
S. Du
OffRL
208
1
0
24 Oct 2022
Differentiable Bilevel Programming for Stackelberg Congestion Games
Differentiable Bilevel Programming for Stackelberg Congestion Games
Jiayang Li
Jiahao Yu
Qianni Wang
Boyi Liu
Zhaoran Wang
Y. Nie
417
19
0
15 Sep 2022
Learning in Congestion Games with Bandit Feedback
Learning in Congestion Games with Bandit FeedbackNeural Information Processing Systems (NeurIPS), 2022
Qiwen Cui
Zhihan Xiong
Maryam Fazel
S. Du
383
19
0
04 Jun 2022
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in
  General-Sum Markov Games with Myopic Followers?
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers?
Han Zhong
Zhuoran Yang
Zhaoran Wang
Sai Li
367
34
0
27 Dec 2021
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures
  Global Convergence
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Boyi Liu
Jiayang Li
Zhuoran Yang
Hoi-To Wai
Mingyi Hong
Y. Nie
Zhaoran Wang
568
27
0
04 Oct 2021
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum GamesNeural Information Processing Systems (NeurIPS), 2021
Yu Bai
Chi Jin
Haiquan Wang
Caiming Xiong
353
80
0
23 Feb 2021
End-to-End Learning and Intervention in Games
End-to-End Learning and Intervention in GamesNeural Information Processing Systems (NeurIPS), 2020
Jiayang Li
Jiahao Yu
Y. Nie
Zhaoran Wang
245
43
0
26 Oct 2020
Generalized Mirror Descents in Congestion Games
Generalized Mirror Descents in Congestion Games
Po-An Chen
Chi-Jen Lu
141
20
0
25 May 2016
1
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