Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers

17 June 2021

Papers citing "Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers"

7 / 7 papers shown

Title
A Survey on Self-play Methods in Reinforcement Learning Ruize Zhang Zelai Xu Chengdong Ma Chao Yu Weijuan Tu ... Deheng Ye Wenbo Ding Yaodong Yang Yu Wang Yu Wang SyDa SSL OnRL 46 8 0 02 Aug 2024
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games Stephen Marcus McAleer JB Lanier Kevin A. Wang Pierre Baldi Roy Fox T. Sandholm 24 18 0 13 Jul 2022
Offline Equilibrium Finding Shuxin Li Xinrun Wang Youzhi Zhang Jakub Cerny Pengdeng Li Hau Chan Bo An OffRL 39 2 0 12 Jul 2022
NeuPL: Neural Population Learning Siqi Liu Luke Marris Daniel Hennes J. Merel N. Heess T. Graepel 30 17 0 15 Feb 2022
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 30 16 0 20 Sep 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 26 181 0 27 Jul 2021
Solving Common-Payoff Games with Approximate Policy Iteration Samuel Sokota Edward Lockhart Finbarr Timbers Elnaz Davoodi Ryan DÓrazio Neil Burch Martin Schmid Michael H. Bowling Marc Lanctot 42 22 0 11 Jan 2021