ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.02518
  4. Cited By
Provably Efficient Online Hyperparameter Optimization with
  Population-Based Bandits

Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits

6 February 2020
Jack Parker-Holder
Vu Nguyen
Stephen J. Roberts
    OffRL
ArXivPDFHTML

Papers citing "Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits"

5 / 5 papers shown
Title
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
J. Gornet
Yiannis Kantaros
Bruno Sinopoli
24
0
0
27 Apr 2025
Generalized Population-Based Training for Hyperparameter Optimization in
  Reinforcement Learning
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning
Hui Bai
Ran Cheng
22
4
0
12 Apr 2024
A survey on multi-objective hyperparameter optimization algorithms for
  Machine Learning
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning
A. Hernández
I. Nieuwenhuyse
Sebastian Rojas Gonzalez
9
92
0
23 Nov 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
16
23
0
05 Oct 2021
Time-Varying Gaussian Process Bandit Optimization
Time-Varying Gaussian Process Bandit Optimization
Ilija Bogunovic
Jonathan Scarlett
V. Cevher
36
82
0
25 Jan 2016
1