Convergence of Learning Dynamics in Stackelberg Games

4 June 2019

Papers citing "Convergence of Learning Dynamics in Stackelberg Games"

18 / 18 papers shown

Title
No-Regret Learning for Stackelberg Equilibrium Computation in Newsvendor Pricing Games Larkin Liu Yuming Rong 38 0 0 30 Mar 2024
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium Shihong Ding Hanze Dong Cong Fang Zhouchen Lin Tong Zhang 38 1 0 02 Mar 2023
Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design Gianluca Brero Alon Eden D. Chakrabarti M. Gerstgrasser Amy Greenwald Vincent Li David C. Parkes 25 2 0 07 Oct 2022
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games Druv Pai Michael Psenka Chih-Yuan Chiu Manxi Wu Yan Sun Yi Ma 31 6 0 18 Jun 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 35 32 0 14 Mar 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 25 22 0 07 Feb 2022
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? Han Zhong Zhuoran Yang Zhaoran Wang Michael I. Jordan 31 30 0 27 Dec 2021
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games Yu Bai Chi Jin Haiquan Wang Caiming Xiong 44 67 0 23 Feb 2021
Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues Ricard Durall Avraam Chatzimichailidis P. Labus J. Keuper GAN 30 58 0 17 Dec 2020
A Hypergradient Approach to Robust Regression without Correspondence Yujia Xie Yongyi Mao Simiao Zuo Hongteng Xu X. Ye T. Zhao H. Zha 26 15 0 30 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 33 33 0 10 Nov 2020
Training Generative Adversarial Networks by Solving Ordinary Differential Equations Chongli Qin Yan Wu Jost Tobias Springenberg Andrew Brock Jeff Donahue Timothy Lillicrap Pushmeet Kohli GAN 32 29 0 28 Oct 2020
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians Juhan Bae Roger C. Grosse 27 24 0 26 Oct 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm Vijay Keswani Oren Mangoubi Sushant Sachdeva Nisheeth K. Vishnoi 22 1 0 22 Jun 2020
The limits of min-max optimization algorithms: convergence to spurious non-critical sets Ya-Ping Hsieh P. Mertikopoulos V. Cevher 35 81 0 16 Jun 2020
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 33 43 0 21 Feb 2020
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets Gauthier Gidel David Balduzzi Wojciech M. Czarnecki M. Garnelo Yoram Bachrach 21 7 0 14 Feb 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 63 1,184 0 24 Nov 2019