Lyapunov Exponents for Diversity in Differentiable Games

24 December 2021

Paul Vicol

Papers citing "Lyapunov Exponents for Diversity in Differentiable Games"

33 / 33 papers shown

Title
f-Domain-Adversarial Learning: Theory and Algorithms David Acuna Guojun Zhang M. Law Sanja Fidler FedML AI4CE 64 62 0 21 Jun 2021
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation Evgenii Nikishin Romina Abachi Rishabh Agarwal Pierre-Luc Bacon OffRL 86 37 0 06 Jun 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 350 6,551 0 26 Nov 2020
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton 88 24 0 05 Nov 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 70 52 0 01 Jul 2020
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran Igor Mordatch Vikash Kumar OffRL 49 127 0 16 Apr 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 214 2,056 0 16 Apr 2020
Diversity inducing Information Bottleneck in Model Ensembles Samarth Sinha Homanga Bharadhwaj Anirudh Goyal Hugo Larochelle Animesh Garg Florian Shkurti BDL UQCV 57 40 0 10 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 173 225 0 06 Mar 2020
PyHessian: Neural Networks Through the Lens of the Hessian Z. Yao A. Gholami Kurt Keutzer Michael W. Mahoney ODL 58 303 0 16 Dec 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 126 415 0 06 Nov 2019
Ensembles of Locally Independent Prediction Models A. Ross Weiwei Pan Leo Anthony Celi Finale Doshi-Velez 67 32 0 04 Nov 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 113 857 0 10 Sep 2019
Differentiable Game Mechanics Alistair Letcher David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel 71 81 0 13 May 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine David Duvenaud Roger C. Grosse 78 164 0 07 Mar 2019
AlphaStar: An Evolutionary Computation Perspective Kai Arulkumaran Antoine Cully Julian Togelius 50 185 0 05 Feb 2019
Improving Adversarial Robustness via Promoting Ensemble Diversity Tianyu Pang Kun Xu Chao Du Ning Chen Jun Zhu AAML 83 439 0 25 Jan 2019
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games Eric V. Mazumdar Michael I. Jordan S. Shankar Sastry 99 120 0 03 Jan 2019
Stable Opponent Shaping in Differentiable Games Alistair Letcher Jakob N. Foerster David Balduzzi Tim Rocktaschel Shimon Whiteson 94 110 0 20 Nov 2018
Negative Momentum for Improved Game Dynamics Gauthier Gidel Reyhane Askari Hemmat Mohammad Pezeshki Rémi Le Priol Gabriel Huang Simon Lacoste-Julien Ioannis Mitliagkas AI4CE 69 180 0 12 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 204 4,361 0 24 Jun 2018
A0C: Alpha Zero in Continuous Action Space Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker 83 48 0 24 May 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 72 1,283 0 02 Mar 2018
Stochastic Hyperparameter Optimization through Hypernetworks Jonathan Lorraine David Duvenaud 74 140 0 26 Feb 2018
The Mechanics of n-Player Differentiable Games David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel MLT 84 275 0 15 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 175 3,035 0 05 Feb 2018
Training GANs with Optimism C. Daskalakis Andrew Ilyas Vasilis Syrgkanis Haoyang Zeng 175 519 0 31 Oct 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,558 0 31 Mar 2017
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 116 1,004 0 07 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 468 5,378 0 05 Nov 2016
Connecting Generative Adversarial Networks and Actor-Critic Methods David Pfau Oriol Vinyals OffRL AI4CE 79 186 0 06 Oct 2016
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 101 1,038 0 13 Jul 2014
Optimization, Learning, and Games with Predictable Sequences Alexander Rakhlin Karthik Sridharan 103 380 0 08 Nov 2013