Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian

12 November 2020

Papers citing "Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian"

24 / 24 papers shown

Title
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution Ke Xue Yutong Wang Cong Guan Lei Yuan Haobo Fu Qiang Fu Chao Qian Yang Yu 42 17 0 03 Jan 2025
Stein Variational Evolution Strategies Cornelius V. Braun Robert T. Lange Marc Toussaint 31 0 0 14 Oct 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance Haiquan Lu Xiaotian Liu Yefan Zhou Qunli Li Kurt Keutzer Michael W. Mahoney Yujun Yan Huanrui Yang Yaoqing Yang 45 1 0 17 Jul 2024
Mix-ME: Quality-Diversity for Multi-Agent Learning Gardhar Ingvarsson Mikayel Samvelyan Bryan Lim Manon Flageat Antoine Cully Tim Rocktaschel 39 2 0 03 Nov 2023
Iteratively Learn Diverse Strategies with State Distance Information Wei Fu Weihua Du Jingwei Li Sunli Chen Jingzhao Zhang Yi Wu 51 3 0 23 Oct 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Günter Klambauer Sepp Hochreiter UQCV 42 14 0 06 Jul 2023
Policy Dispersion in Non-Markovian Environment B. Qu Xiaofeng Cao Jielong Yang Hechang Chen Chang Yi Ivor W.Tsang Yew-Soon Ong 22 0 0 28 Feb 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 43 2 0 20 Feb 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 50 10 0 01 Dec 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 62 9 0 23 Oct 2022
Equivariant Networks for Zero-Shot Coordination Darius Muglich Christian Schroeder de Witt Elise van der Pol Shimon Whiteson Jakob N. Foerster 58 13 0 21 Oct 2022
Learning to Optimize Quasi-Newton Methods Isaac Liao Rumen Dangovski Jakob N. Foerster Marin Soljacic 38 4 0 11 Oct 2022
K-level Reasoning for Zero-Shot Coordination in Hanabi Brandon Cui Hengyuan Hu Luis Pineda Jakob N. Foerster OffRL LRM 25 26 0 14 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 38 29 0 06 Jul 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 25 28 0 04 Apr 2022
On-the-fly Strategy Adaptation for ad-hoc Agent Coordination Jaleh Zand Jack Parker-Holder Stephen J. Roberts 20 13 0 08 Mar 2022
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 215 64 0 07 Feb 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
GDA-AM: On the effectiveness of solving minimax optimization via Anderson Acceleration Huan He Shifan Zhao Yuanzhe Xi Joyce C. Ho Y. Saad 34 1 0 06 Oct 2021
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 136 218 0 06 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 907 0 02 Mar 2020
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach Yuanhao Wang Guodong Zhang Jimmy Ba 33 100 0 16 Oct 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,892 0 15 Sep 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,186 0 30 Nov 2014