Optimizing sequential experimental design with deep reinforcement learning

T Blau, EV Bonilla, I Chades… - … conference on machine …, 2022 - proceedings.mlr.press
Bayesian approaches developed to solve the optimal design of sequential experiments are
mathematically elegant but computationally challenging. Recently, techniques using …
被引用次数：47 相关文章

Optimizing Sequential Experimental Design with Deep Reinforcement Learning

T Blau, EV Bonilla, I Chades, A Dezfouli - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Bayesian approaches developed to solve the optimal design of sequential experiments are
mathematically elegant but computationally challenging. Recently, techniques using …

Optimizing Sequential Experimental Design with Deep Reinforcement Learning

T Blau, EV Bonilla, I Chades, A Dezfouli - arXiv preprint arXiv:2202.00821, 2022 - arxiv.org
Bayesian approaches developed to solve the optimal design of sequential experiments are
mathematically elegant but computationally challenging. Recently, techniques using …