The Mechanics of n-Player Differentiable Games

15 February 2018

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

50 / 168 papers shown

Title
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems Deliang Wei Peng Chen Haobo Xu Jiale Yao Fang Li Tieyong Zeng 21 0 0 13 May 2025
Negative Stepsizes Make Gradient-Descent-Ascent Converge Henry Shugart Jason M. Altschuler 30 0 0 02 May 2025
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games Shubhankar Agarwal Hamzah I. Khan Sandeep P. Chinchali David Fridovich-Keil 41 0 0 23 Mar 2025
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization Tianyi Lin Chi Jin Michael I. Jordan 52 7 0 28 Jan 2025
Solving Infinite-Player Games with Player-to-Strategy Networks Carlos Martin T. Sandholm 56 0 0 17 Jan 2025
ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks Ziji Shi Jialin Li Yang You 26 1 0 06 Nov 2024
Joint-perturbation simultaneous pseudo-gradient Carlos Martin Tuomas Sandholm 35 2 0 17 Aug 2024
Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games Kushagra Gupta Xinjie Liu Ufuk Topcu David Fridovich-Keil 31 3 0 05 Jun 2024
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks Neel Mishra Bamdev Mishra Pratik Jawanpuria Pawan Kumar GAN 30 1 0 10 Apr 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation Yang Li Wenhao Zhang Jianhong Wang Shao Zhang Yali Du Ying Wen Wei Pan 26 1 0 19 Feb 2024
Analysing the Sample Complexity of Opponent Shaping Kitty Fung Qizhen Zhang Chris Xiaoxuan Lu Jia Wan Timon Willi Jakob N. Foerster 31 0 0 08 Feb 2024
Multi-Sender Persuasion: A Computational Perspective Safwan Hossain Tonghan Wang Tao Lin Yiling Chen David C. Parkes Haifeng Xu 35 10 0 07 Feb 2024
DockGame: Cooperative Games for Multimeric Rigid Protein Docking Vignesh Ram Somnath Pier Giuseppe Sessa María Rodríguez Martínez Andreas Krause 37 2 0 09 Oct 2023
Policy Space Diversity for Non-Transitive Games Jian Yao Weiming Liu Haobo Fu Yaodong Yang Stephen Marcus McAleer Qiang Fu Wei Yang 46 9 0 29 Jun 2023
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource Xiang Yang Deliang Chen Q. Qi Jingyu Wang Haifeng Sun J. Liao Song Guo 19 3 0 21 Jun 2023
Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning Haozhe Jasper Wang Chao Du Panyan Fang Li He Liangji Wang Bo Zheng 9 5 0 12 Jun 2023
Chaos persists in large-scale multi-agent learning despite adaptive learning rates Emmanouil-Vasileios Vlatakis-Gkaragkounis Lampros Flokas Georgios Piliouras 10 1 0 01 Jun 2023
Solving Robust MDPs through No-Regret Dynamics E. Guha 33 0 0 30 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization Ting Wu Rui Zheng Tao Gui Qi Zhang Xuanjing Huang 51 2 0 20 May 2023
Adaptive Consensus Optimization Method for GANs Sachin Kumar Danisetty Santhosh Reddy Mylaram Pawan Kumar ODL 11 3 0 20 Apr 2023
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning Ariyan Bighashdel Daan de Geus P. Jancura Gijs Dubbelman OffRL LRM 15 1 0 04 Apr 2023
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging Qi Wang Lucas Mahler Julius Steiglechner Florian Birk K. Scheffler Gabriele Lohmann MedIm 43 4 0 24 Mar 2023
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments R. Loftin M. Çelikok H. V. Hoof Samuel Kaski F. Oliehoek 32 1 0 07 Feb 2023
On a continuous time model of gradient descent dynamics and instability in deep learning Mihaela Rosca Yan Wu Chongli Qin Benoit Dherin 20 7 0 03 Feb 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs Theodore H. Moskovitz Brendan O'Donoghue Vivek Veeriah Sebastian Flennerhag Satinder Singh Tom Zahavy 50 19 0 02 Feb 2023
ApproxED: Approximate exploitability descent via learned best responses Carlos Martin T. Sandholm 32 0 0 20 Jan 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
General Intelligence Requires Rethinking Exploration Minqi Jiang Tim Rocktaschel Edward Grefenstette LRM 29 18 0 15 Nov 2022
When is Momentum Extragradient Optimal? A Polynomial-Based Analysis J. Kim Gauthier Gidel Anastasios Kyrillidis Fabian Pedregosa 32 1 0 09 Nov 2022
Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play Method Zichuan Liu Lacra Pavel LRM 31 2 0 29 Oct 2022
The Replicator Dynamic, Chain Components and the Response Graph O. Biggar Iman Shames 27 4 0 30 Sep 2022
Why neural networks find simple solutions: the many regularizers of geometric complexity Benoit Dherin Michael Munn M. Rosca David Barrett 57 31 0 27 Sep 2022
Three-Player Game Training Dynamics K. Christofferson Fernando J. Yanez 22 0 0 12 Aug 2022
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19 Haoran Hu Connor Kennedy P. Kevrekidis Hongkun Zhang 11 10 0 01 Aug 2022
A note on large deviations for interacting particle dynamics for finding mixed equilibria in zero-sum games Viktor Nilsson Pierre Nyquist 15 1 0 30 Jun 2022
Modeling Content Creator Incentives on Algorithm-Curated Platforms Jiri Hron K. Krauth Michael I. Jordan Niki Kilbertus Sarah Dean 28 37 0 27 Jun 2022
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method Tong Yang Michael I. Jordan Tatjana Chavdarova 32 9 0 21 Jun 2022
Principal Trade-off Analysis Alexander Strang David Sewell Alexander Kim K. Alcedo D. Rosenbluth 6 1 0 09 Jun 2022
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces Michael I. Jordan Tianyi Lin Emmanouil-Vasileios Vlatakis-Gkaragkounis 29 19 0 04 Jun 2022
Competitive Gradient Optimization Abhijeet Vyas Kamyar Azizzadenesheli 12 1 0 27 May 2022
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization Yihang Gao Huafeng Liu Michael K. Ng Mingjie Zhou 25 2 0 23 May 2022
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications Fanglei Sun Yang Li Ying Wen Jin Hu Jun Wang Yang Yang Kai Li 26 1 0 22 May 2022
On the Convergence of Fictitious Play: A Decomposition Approach Yurong Chen Xiaotie Deng Chenchen Li D. Mguni Jun Wang Xiang Yan Yaodong Yang 22 4 0 03 May 2022
Riemannian Hamiltonian methods for min-max optimization on manifolds Andi Han Bamdev Mishra Pratik Jawanpuria Pawan Kumar Junbin Gao 38 17 0 25 Apr 2022
Competitive Physics Informed Networks Qi Zeng Yash Kothari Spencer H. Bryngelson F. Schafer PINN 24 20 0 23 Apr 2022
Distributionally Robust Models with Parametric Likelihood Ratios Paul Michel Tatsunori Hashimoto Graham Neubig OOD 30 15 0 13 Apr 2022
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes Sixin Zhang GAN 21 0 0 14 Mar 2022
COLA: Consistent Learning with Opponent-Learning Awareness Timon Willi Alistair Letcher Johannes Treutlein Jakob N. Foerster 19 51 0 08 Mar 2022
The Good Shepherd: An Oracle Agent for Mechanism Design Jan Balaguer R. Koster Christopher Summerfield Andrea Tacchetti 17 17 0 21 Feb 2022
Learning Collective Action under Risk Diversity Ramona Merhej Fernando P. Santos Francisco S. Melo Mohamed Chetouani Francisco C. Santos 11 0 0 30 Jan 2022