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Using Automated Algorithm Configuration for Parameter Control

23 February 2023

Papers citing "Using Automated Algorithm Configuration for Parameter Control"

24 / 24 papers shown

Title
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan Mingxing Li Chao Qian Zongzhang Zhang Yang Yu 85 32 0 13 Oct 2022
Reinforcement learning based adaptive metaheuristics Michele Tessari Giovanni Iacca 56 5 0 24 Jun 2022
Automated Dynamic Algorithm Configuration Steven Adriaensen André Biedenkapp Gresa Shala Noor H. Awad Theresa Eimer Marius Lindauer Frank Hutter 91 38 0 27 May 2022
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features Ana Kostovska Anja Jankovic Diederick Vermetten Jacob De Nobel Hao Wang T. Eftimov Carola Doerr 53 37 0 20 Apr 2022
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration André Biedenkapp Nguyen Dang Martin S. Krejca Frank Hutter Carola Doerr 53 8 0 07 Feb 2022
DACBench: A Benchmark Library for Dynamic Algorithm Configuration Theresa Eimer André Biedenkapp Maximilian V Reimer Steven Adriaensen Frank Hutter Marius Lindauer 63 29 0 18 May 2021
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms Kirill Antonov M. Buzdalov Arina Buzdalova Carola Doerr 56 4 0 23 Feb 2021
Optimal Static Mutation Strength Distributions for the $(1+λ)$ Evolutionary Algorithm on OneMax M. Buzdalov Carola Doerr 18 4 0 09 Feb 2021
Reproducibility in Evolutionary Computation Manuel López-Ibánez Juergen Branke L. Paquete 104 32 0 05 Feb 2021
Benchmarking in Optimization: Best Practice and Open Issues Thomas Bartz-Beielstein Carola Doerr Daan van den Berg Jakob Bossek Sowmya Chandrasekaran ... B. Naujoks Patryk Orzechowski Vanessa Volz Markus Wagner T. Weise 99 112 0 07 Jul 2020
Optimal Mutation Rates for the $(1+λ)$ EA on OneMax M. Buzdalov Carola Doerr 15 19 0 20 Jun 2020
Learning Heuristic Selection with Dynamic Algorithm Configuration David Speck André Biedenkapp Frank Hutter Robert Mattmüller Marius Lindauer 63 29 0 15 Jun 2020
A Rigorous Runtime Analysis of the $(1 + (λ, λ))$ GA on Jump Functions Denis Antipov Benjamin Doerr V. Karavaev 51 16 0 14 Apr 2020
Deep Reinforcement Learning Based Parameter Control in Differential Evolution Mudita Sharma Alexandros Komninos Manuel López-Ibánez D. Kazakov 39 74 0 20 May 2019
Maximizing Drift is Not Optimal for Solving OneMax Nathan Buskulic Carola Doerr 32 22 0 16 Apr 2019
Hyper-Parameter Tuning for the (1+(λ,λ)) GA Nguyen Dang Carola Doerr 52 21 0 09 Apr 2019
Better Runtime Guarantees Via Stochastic Domination Benjamin Doerr 41 60 0 13 Jan 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 118 1,954 0 19 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,065 0 20 Jul 2017
Runtime Analysis of the $(1+(λ,λ))$ Genetic Algorithm on Random Satisfiable 3-CNF Formulas M. Buzdalov Benjamin Doerr 44 59 0 14 Apr 2017
Fast Genetic Algorithms Benjamin Doerr H. P. Le Régis Makhmara Ta Duy Nguyen 40 204 0 09 Mar 2017
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting N. Hansen A. Auger Raymond Ros Olaf Mersmann Tea Tušar D. Brockhoff 60 424 0 29 Mar 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,641 0 22 Sep 2015
Playing Mastermind With Constant-Size Memory Benjamin Doerr Carola Doerr LRM 67 44 0 17 Oct 2011