Computing Approximate Equilibria in Sequential Adversarial Games by
Exploitability Descent

Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent

13 March 2019

Edward Lockhart

Julien Pérolat

Jean-Baptiste Lespiau

Finbarr Timbers

Papers citing "Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent"

14 / 14 papers shown

Title
Solving Infinite-Player Games with Player-to-Strategy Networks Carlos Martin T. Sandholm 66 0 0 17 Jan 2025
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning Zida Wu Mathieu Lauriere Samuel Jia Cong Chua M. Geist Olivier Pietquin Ankur M. Mehta 42 5 0 06 Mar 2024
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning Zun Li Marc Lanctot Kevin R. McKee Luke Marris I. Gemp Daniel Hennes Paul Muller Kate Larson Yoram Bachrach Michael P. Wellman 28 11 0 01 Feb 2023
Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks Carlos Martin T. Sandholm 36 11 0 29 Nov 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 25 16 0 13 Oct 2022
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games Kenshi Abe Kaito Ariu Mitsuki Sakamoto Kenta Toyoshima Atsushi Iwasaki 39 11 0 21 Aug 2022
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 18 3 0 29 Oct 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 43 11 0 12 Jun 2021
Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas W. Anthony Tom Eccles Andrea Tacchetti János Kramár I. Gemp ... Richard Everett Roman Werpachowski Satinder Singh T. Graepel Yoram Bachrach 24 42 0 08 Jun 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 68 1,184 0 24 Nov 2019
Bounds for Approximate Regret-Matching Algorithms Scott Fujimoto Dustin Morrill J. R. Wright 19 3 0 03 Oct 2019
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 30 248 0 26 Aug 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 48 553 0 12 Oct 2018
A Unified View of Large-scale Zero-sum Equilibrium Computation Kevin Waugh J. Andrew Bagnell 56 25 0 18 Nov 2014