Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL

30 June 2021

Papers citing "Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL"

7 / 7 papers shown

Title
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 26 15 0 19 Jul 2022
ARLO: A Framework for Automated Reinforcement Learning Marco Mussi Davide Lombarda Alberto Maria Metelli F. Trovò Marcello Restelli OffRL 28 4 0 20 May 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 30 100 0 11 Jan 2022
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 121 95 0 06 Oct 2021
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 106 117 0 21 Oct 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 67 83 0 06 Feb 2020
Time-Varying Gaussian Process Bandit Optimization Ilija Bogunovic Jonathan Scarlett V. Cevher 58 95 0 25 Jan 2016