Learning to Guide Random Search

25 April 2020

Papers citing "Learning to Guide Random Search"

7 / 7 papers shown

Title
Generalizing Gaussian Smoothing for Random Search Katelyn Gao Ozan Sener 80 14 0 27 Nov 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 90 62 0 16 Oct 2022
Dimensionality Reduction and Prioritized Exploration for Policy Search Marius Memmel Puze Liu Davide Tateo Jan Peters 122 4 0 09 Mar 2022
Megaverse: Simulating Embodied Agents at One Million Experiences per Second Aleksei Petrenko Erik Wijmans Brennan Shacklett V. Koltun LM&Ro VGen 88 24 0 17 Jul 2021
Recent Theoretical Advances in Non-Convex Optimization Marina Danilova Pavel Dvurechensky Alexander Gasnikov Eduard A. Gorbunov Sergey Guminov Dmitry Kamzolov Innokentiy Shibaev 129 79 0 11 Dec 2020
AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient Hoang Tran Guannan Zhang 58 8 0 03 Nov 2020
MLE-guided parameter search for task loss minimization in neural sequence modeling Sean Welleck Kyunghyun Cho 65 10 0 04 Jun 2020