The Mechanics of n-Player Differentiable Games

15 February 2018

Papers citing "The Mechanics of n-Player Differentiable Games"

50 / 168 papers shown

Title
Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement Learning Michael J. Curry Alexander R. Trott Soham R. Phade Yunru Bai Stephan Zheng 49 6 0 03 Jan 2022
Lyapunov Exponents for Diversity in Differentiable Games Jonathan Lorraine Paul Vicol Jack Parker-Holder Tal Kachman Luke Metz Jakob N. Foerster 35 7 0 24 Dec 2021
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems Thinh T. Doan 20 15 0 17 Dec 2021
The Geometric Occam's Razor Implicit in Deep Learning Benoit Dherin Micheal Munn David Barrett 22 6 0 30 Nov 2021
Polymatrix Competitive Gradient Descent Jeffrey Ma Alistair Letcher F. Schafer Yuanyuan Shi Anima Anandkumar 14 4 0 16 Nov 2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision I. Higgins Peter Wirnsberger Andrew Jaegle Aleksandar Botev 50 8 0 10 Nov 2021
Training Generative Adversarial Networks with Adaptive Composite Gradient Huiqing Qi Fang Li Shengli Tan Xiangyun Zhang GAN 29 3 0 10 Nov 2021
Which priors matter? Benchmarking models for learning latent dynamics Aleksandar Botev Andrew Jaegle Peter Wirnsberger Daniel Hennes I. Higgins AI4CE 40 28 0 09 Nov 2021
Extragradient Method: $O(1/K)$ Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity Eduard A. Gorbunov Nicolas Loizou Gauthier Gidel 31 64 0 08 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity M. Garnelo Wojciech M. Czarnecki Siqi Liu Dhruva Tirumala Junhyuk Oh Gauthier Gidel H. V. Hasselt David Balduzzi 34 25 0 08 Oct 2021
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Boddeti 37 5 0 12 Sep 2021
Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics Georgios Piliouras Xiao Wang 39 0 0 08 Sep 2021
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games B. Hambly Renyuan Xu Huining Yang 23 25 0 27 Jul 2021
Contextual Games: Multi-Agent Learning with Side Information Pier Giuseppe Sessa Ilija Bogunovic Andreas Krause Maryam Kamgarpour 52 21 0 13 Jul 2021
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity Nicolas Loizou Hugo Berard Gauthier Gidel Ioannis Mitliagkas Simon Lacoste-Julien 29 53 0 30 Jun 2021
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging C. J. Li Yaodong Yu Nicolas Loizou Gauthier Gidel Yi Ma Nicolas Le Roux Michael I. Jordan 31 22 0 30 Jun 2021
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers Patrick R. Johnstone Jonathan Eckstein Thomas Flynn Shinjae Yoo 24 2 0 24 Jun 2021
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality Stefanos Leonardos Georgios Piliouras Kelly Spendlove 14 30 0 24 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 40 11 0 12 Jun 2021
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence Yun Kuen Cheung Georgios Piliouras 19 7 0 09 Jun 2021
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures N. Vadori Rahul Savani Thomas Spooner Sumitra Ganesh 11 4 0 04 Jun 2021
Minimax Optimization with Smooth Algorithmic Adversaries Tanner Fiez Chi Jin Praneeth Netrapalli Lillian J. Ratliff AAML 29 11 0 02 Jun 2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages Edoardo Ponti Rahul Aralikatte Disha Shrivastava Siva Reddy Anders Søgaard 42 16 0 02 Jun 2021
Discretization Drift in Two-Player Games Mihaela Rosca Yan Wu Benoit Dherin David Barrett 19 11 0 28 May 2021
Dynamic Game Theoretic Neural Optimizer Guan-Horng Liu T. Chen Evangelos A. Theodorou AI4CE 6 4 0 08 May 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection Xu Guo Boyang Albert Li Han Yu Chunyan Miao AAML 28 17 0 19 Apr 2021
Generative Minimization Networks: Training GANs Without Competition Paulina Grnarova Yannic Kilcher Kfir Y. Levy Aurelien Lucchi Thomas Hofmann GAN 26 6 0 23 Mar 2021
Modeling the Second Player in Distributionally Robust Optimization Paul Michel Tatsunori Hashimoto Graham Neubig 14 31 0 18 Mar 2021
Learning in Nonzero-Sum Stochastic Games with Potentials D. Mguni Yutong Wu Yali Du Yaodong Yang Ziyi Wang Minne Li Ying Wen Joel Jennings Jun Wang 32 45 0 16 Mar 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez Nieves Yaodong Yang Oliver Slumbers D. Mguni Ying Wen Jun Wang 22 67 0 14 Mar 2021
Learning in Matrix Games can be Arbitrarily Complex Gabriel P. Andrade Rafael Frongillo Georgios Piliouras 15 31 0 05 Mar 2021
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems Yaodong Yang Jun Luo Ying Wen Oliver Slumbers D. Graves H. Ammar Jun Wang Matthew E. Taylor 21 35 0 15 Feb 2021
Functional Space Analysis of Local GAN Convergence Valentin Khrulkov Artem Babenko Ivan Oseledets 36 6 0 08 Feb 2021
Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics Stefan Heidekrüger P. Sutterer Nils Kohring Maximilian Fichtl M. Bichler 19 5 0 28 Jan 2021
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent Lampros Flokas Emmanouil-Vasileios Vlatakis-Gkaragkounis Georgios Piliouras MLT 19 14 0 13 Jan 2021
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation Qijun Luo Zhili Liu Lanqing Hong Chongxuan Li Kuo Yang Liyuan Wang Fengwei Zhou Guilin Li Zhenguo Li Jun Zhu GAN 37 2 0 05 Jan 2021
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games Stratis Skoulakis Tanner Fiez Ryan Sim Georgios Piliouras Lillian J. Ratliff 21 13 0 15 Dec 2020
Geometry-Aware Universal Mirror-Prox Reza Babanezhad Simon Lacoste-Julien 18 4 0 23 Nov 2020
Towards a Better Global Loss Landscape of GANs Ruoyu Sun Tiantian Fang A. Schwing GAN 35 26 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
LEAD: Min-Max Optimization from a Physical Perspective Reyhane Askari Hemmat Amartya Mitra Guillaume Lajoie Ioannis Mitliagkas 39 1 0 26 Oct 2020
Adaptive extra-gradient methods for min-max optimization and games Kimon Antonakopoulos E. V. Belmega P. Mertikopoulos 64 46 0 22 Oct 2020
Non-saturating GAN training as divergence minimization Matt Shannon Ben Poole Soroosh Mariooryad Tom Bagby Eric Battenberg David Kao Daisy Stanton RJ Skerry-Ryan GAN 25 17 0 15 Oct 2020
A method for escaping limit cycles in training GANs Li Keke Xinmin Yang 35 0 0 07 Oct 2020
Average-case Acceleration for Bilinear Games and Normal Matrices Carles Domingo-Enrich Fabian Pedregosa Damien Scieur 29 7 0 05 Oct 2020
EigenGame: PCA as a Nash Equilibrium I. Gemp Brian McWilliams Claire Vernade T. Graepel 32 46 0 01 Oct 2020
Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation Tanner Fiez Lillian J. Ratliff 22 16 0 30 Sep 2020
Implicit Gradient Regularization David Barrett Benoit Dherin 22 147 0 23 Sep 2020
Properties of f-divergences and f-GAN training Matt Shannon AI4CE 13 4 0 02 Sep 2020
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers Philipp Geiger C. Straehle AI4CE 33 26 0 17 Aug 2020