Optimizing Sequential Experimental Design with Deep Reinforcement Learning

Tom Blau, Edwin V. Bonilla, Iadine Chades +1

Bayesian approaches developed to solve the optimal design of sequential experiments are mathematically elegant but computationally challenging. Recently, techniques using amortizat…