Optimizing Sequential Experimental Design with Deep Reinforcement Learning

2 February 2022

Papers citing "Optimizing Sequential Experimental Design with Deep Reinforcement Learning"

21 / 21 papers shown

Title
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping Tianyuan Wang 46 0 0 16 Mar 2025
PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli 34 0 0 02 Mar 2025
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 106 0 0 20 Jan 2025
Amortized Bayesian Experimental Design for Decision-Making Daolang Huang Yujia Guo Luigi Acerbi Samuel Kaski 44 2 0 03 Jan 2025
Bayesian Experimental Design via Contrastive Diffusions Jacopo Iollo Christophe Heinkelé Pierre Alliez Florence Forbes 26 0 0 15 Oct 2024
Amortized Active Causal Induction with Deep Reinforcement Learning Yashas Annadani P. Tigas Stefan Bauer Adam Foster 29 0 0 26 May 2024
Amortized nonmyopic active search via deep imitation learning Quan Nguyen Anindya Sarkar Roman Garnett 19 0 0 23 May 2024
Nesting Particle Filters for Experimental Design in Dynamical Systems Sahel Iqbal Adrien Corenflos Simo Särkkä Hany Abdulsamad 23 2 0 12 Feb 2024
PASOA- PArticle baSed Bayesian Optimal Adaptive design Jacopo Iollo Christophe Heinkelé Pierre Alliez Florence Forbes 11 1 0 11 Feb 2024
Bayesian Active Learning in the Presence of Nuisance Parameters Sabina J. Sloman Ayush Bharti Julien Martinelli Samuel Kaski 19 3 0 23 Oct 2023
Amortised Design Optimization for Item Response Theory Antti Keurulainen Isak Westerlund Oskar Keurulainen Andrew Howes 13 0 0 19 Jul 2023
Amortised Experimental Design and Parameter Estimation for User Models of Pointing Antti Keurulainen Isak Westerlund Oskar Keurulainen Andrew Howes 10 7 0 19 Jul 2023
Variational Sequential Optimal Experimental Design using Reinforcement Learning Wanggang Shen Jiayuan Dong Xun Huan 12 3 0 17 Jun 2023
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators Tom Blau Iadine Chadès Amir Dezfouli Daniel M. Steinberg Edwin V. Bonilla 11 1 0 29 May 2023
Online simulator-based experimental design for cognitive model selection Alexander Aushev Aini Putkonen Grégoire Clarté Suyog H. Chandramouli Luigi Acerbi Samuel Kaski Andrew Howes 22 2 0 03 Mar 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 21 75 0 28 Feb 2023
Differentiable Multi-Target Causal Bayesian Experimental Design Yashas Annadani P. Tigas Desi R. Ivanova Andrew Jesson Y. Gal Adam Foster Stefan Bauer BDL CML 18 13 0 21 Feb 2023
GFlowNets for AI-Driven Scientific Discovery Moksh Jain T. Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernandez-Garcia Yoshua Bengio AI4CE 21 44 0 01 Feb 2023
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection Stefano B. Blumberg Paddy J. Slator Daniel C. Alexander 24 1 0 13 Oct 2022
Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models Vincent Lim Ellen R. Novoseller Jeffrey Ichnowski Huang Huang Ken Goldberg OffRL 19 10 0 08 Mar 2022
Optimal sequential decision making with probabilistic digital twins C. Agrell Kristina Rognlien Dahl A. Hafver 19 7 0 12 Mar 2021