Multi-agent online learning in time-varying games

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Multi-agent online learning in time-varying games

10 September 2018

Benoit Duvocelle

P. Mertikopoulos

Mathias Staudigl

Dries Vermeulen

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Papers citing "Multi-agent online learning in time-varying games"

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Title
Online Multi-Agent Control with Adversarial Disturbances Anas Barakat John Lazarsfeld Georgios Piliouras Antonios Varvitsiotis 29 0 0 23 Jun 2025
Incentivizing Truthful Language Models via Peer Elicitation Games Baiting Chen Tong Zhu Jiale Han Lexin Li Gang Li Xiaowu Dai 172 1 0 19 May 2025
Independent Learning in Performative Markov Potential Games Rilind Sahitaj Paulius Sasnauskas Yiğit Yalın Debmalya Mandal Goran Radanović 105 0 0 29 Apr 2025
An Online Feasible Point Method for Benign Generalized Nash Equilibrium Problems Sarah Sachs Hédi Hadiji T. Erven Mathias Staudigl 108 0 0 03 Oct 2024
Nested replicator dynamics, nested logit choice, and similarity-based learning P. Mertikopoulos William H. Sandholm 80 3 0 25 Jul 2024
Tracking solutions of time-varying variational inequalities Hédi Hadiji Sarah Sachs Cristóbal Guzmán 121 1 0 20 Jun 2024
Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games Yi-Hu Feng Ping Li Ioannis Panageas Xiao Wang 118 3 0 15 Jun 2024
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium Iosif Sakos Emmanouil-Vasileios Vlatakis-Gkaragkounis P. Mertikopoulos Georgios Piliouras 85 6 0 27 Dec 2023
Convergence Analysis of the Best Response Algorithm for Time-Varying Games Zifan Wang Yi Shen Michael M. Zavlanos Karl H. Johansson 66 1 0 01 Sep 2023
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning Haozhe Jiang Qiwen Cui Zhihan Xiong Maryam Fazel S. Du 119 5 0 12 Jun 2023
An Imitation Learning Based Algorithm Enabling Priori Knowledge Transfer in Modern Electricity Markets for Bayesian Nash Equilibrium Estimation Ziqing Zhu K. Chan S. Bu Ze Hu S. Xia 57 5 0 04 May 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games Ioannis Anagnostides Ioannis Panageas Gabriele Farina Tuomas Sandholm 141 23 0 26 Jan 2023
A unified stochastic approximation framework for learning in games P. Mertikopoulos Ya-Ping Hsieh Volkan Cevher 90 21 0 08 Jun 2022
Personalized incentives as feedback design in generalized Nash equilibrium problems F. Fabiani Andrea Simonetto Paul Goulart 147 4 0 24 Mar 2022
No-Regret Learning in Time-Varying Zero-Sum Games Mengxiao Zhang Peng Zhao Haipeng Luo Zhi Zhou 132 46 0 30 Jan 2022