Sequential Bayesian optimal experimental design via approximate dynamic programming

28 April 2016

Youssef M. Marzouk

Papers citing "Sequential Bayesian optimal experimental design via approximate dynamic programming"

23 / 23 papers shown

Title
Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems Robert Gruhlke Matei Hanu Claudia Schillings Philipp Wacker BDL 39 0 0 17 Apr 2025
Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design Yasir Zubayr Barlas Kizito Salako 32 0 0 07 Mar 2025
Amortized Active Causal Induction with Deep Reinforcement Learning Yashas Annadani P. Tigas Stefan Bauer Adam Foster 24 0 0 26 May 2024
Nesting Particle Filters for Experimental Design in Dynamical Systems Sahel Iqbal Adrien Corenflos Simo Särkkä Hany Abdulsamad 18 2 0 12 Feb 2024
Variational Sequential Optimal Experimental Design using Reinforcement Learning Wanggang Shen Jiayuan Dong Xun Huan 10 3 0 17 Jun 2023
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring Runzhe Wan Yu Liu James McQueen Doug Hains Rui Song OffRL 12 4 0 02 Apr 2023
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting H. Naumer F. Kamalabadi 20 0 0 27 Mar 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 16 73 0 28 Feb 2023
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter Ruben Villarreal Nikolaos N. Vlassis Nhon N. Phan Tommie A. Catanach Reese E. Jones N. Trask S. Kramer WaiChing Sun OffRL 9 11 0 27 Sep 2022
Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias Sabina J. Sloman Daniel M. Oppenheimer S. Broomell C. Shalizi 8 7 0 27 May 2022
Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models Vincent Lim Ellen R. Novoseller Jeffrey Ichnowski Huang Huang Ken Goldberg OffRL 14 9 0 08 Mar 2022
Sequential Bayesian experimental designs via reinforcement learning Hikaru Asano OffRL 6 0 0 14 Feb 2022
Optimizing Sequential Experimental Design with Deep Reinforcement Learning Tom Blau Edwin V. Bonilla Iadine Chadès Amir Dezfouli BDL OffRL 11 36 0 02 Feb 2022
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning Wanggang Shen Xun Huan 9 39 0 28 Oct 2021
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design Adam Foster Desi R. Ivanova Ilyas Malik Tom Rainforth 15 77 0 03 Mar 2021
Sequential Bayesian optimal experimental design for structural reliability analysis C. Agrell Kristina Rognlien Dahl 6 15 0 01 Jul 2020
Bayesian Optimization with Output-Weighted Optimal Sampling A. Blanchard T. Sapsis 11 7 0 22 Apr 2020
Properties of using Fisher information gain for Bayesian design of experiments A. Overstall 11 1 0 16 Mar 2020
Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design Piyush Pandita Nimish Awalgaonkar Ilias Bilionis Jitesh H. Panchal 10 1 0 16 Dec 2019
Receding Horizon Curiosity M. Schultheis Boris Belousov Hany Abdulsamad Jan Peters 7 15 0 08 Oct 2019
Active Localization of Gas Leaks using Fluid Simulation Martin Asenov M. Rutkauskas D. Reid Kartic Subr S. Ramamoorthy 8 18 0 28 Jan 2019
Replication or exploration? Sequential design for stochastic simulation experiments M. Binois Jiangeng Huang R. Gramacy M. Ludkovski 25 113 0 09 Oct 2017
Optimal Experimental Design Using A Consistent Bayesian Approach Scott N. Walsh T. Wildey J. Jakeman 16 17 0 25 May 2017