On Gradient-Based Learning in Continuous Games

16 April 2018

Eric Mazumdar

Papers citing "On Gradient-Based Learning in Continuous Games"

27 / 27 papers shown

Title
Solving Infinite-Player Games with Player-to-Strategy Networks Carlos Martin T. Sandholm 56 0 0 17 Jan 2025
Learning to Control Unknown Strongly Monotone Games Siddharth Chandak Ilai Bistritz Nicholas Bambos 36 3 0 30 Jun 2024
Adaptive Incentive Design with Learning Agents C. Maheshwari Kshitij Kulkarni Manxi Wu S. Shankar Sastry 34 3 0 26 May 2024
No Algorithmic Collusion in Two-Player Blindfolded Game with Thompson Sampling Ningyuan Chen Xuefeng Gao Yi Xiong 47 0 0 23 May 2024
Proper Laplacian Representation Learning Diego Gomez Michael Bowling Marlos C. Machado 26 0 0 16 Oct 2023
Stackelberg Batch Policy Learning Wenzhuo Zhou Annie Qu OffRL 35 0 0 28 Sep 2023
Beyond first-order methods for non-convex non-concave min-max optimization Abhijeet Vyas Brian Bullins 28 1 0 17 Apr 2023
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs Miroslav Krstic Luke Bhan Yuanyuan Shi 54 28 0 18 Mar 2023
Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks Carlos Martin T. Sandholm 34 11 0 29 Nov 2022
Similarity-based cooperative equilibrium Caspar Oesterheld Johannes Treutlein Roger C. Grosse Vincent Conitzer Jakob N. Foerster 18 6 0 26 Nov 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 31 117 0 02 Mar 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity Junchi Yang Antonio Orvieto Aurelien Lucchi Niao He 27 62 0 10 Dec 2021
Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting Bolin Gao Lacra Pavel 25 8 0 18 Nov 2021
Uncoupled Bandit Learning towards Rationalizability: Benchmarks, Barriers, and Algorithms Jibang Wu Haifeng Xu Fan Yao 24 1 0 10 Nov 2021
Scenario generation for market risk models using generative neural networks Solveig Flaig Gero Junike GAN 32 10 0 21 Sep 2021
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games B. Hambly Renyuan Xu Huining Yang 18 25 0 27 Jul 2021
Who Leads and Who Follows in Strategic Classification? Tijana Zrnic Eric Mazumdar S. Shankar Sastry Michael I. Jordan 26 50 0 23 Jun 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 38 11 0 12 Jun 2021
Gradient play in stochastic games: stationary points, convergence, and sample complexity Runyu Zhang Zhaolin Ren Na Li 28 43 0 01 Jun 2021
Learning in Matrix Games can be Arbitrarily Complex Gabriel P. Andrade Rafael M. Frongillo Georgios Piliouras 15 31 0 05 Mar 2021
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory Stefanos Leonardos Georgios Piliouras 31 40 0 05 Dec 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
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 58 1,181 0 24 Nov 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games Kaipeng Zhang Zhuoran Yang Tamer Basar 27 125 0 31 May 2019
Deconstructing Generative Adversarial Networks Banghua Zhu Jiantao Jiao David Tse 34 49 0 27 Jan 2019
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 131 595 0 28 Feb 2017
Frank-Wolfe Algorithms for Saddle Point Problems Gauthier Gidel Tony Jebara Simon Lacoste-Julien 42 70 0 25 Oct 2016