1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
AExGym: Benchmarks and Environments for Adaptive Experimentation
Jimmy Wang, Ethan Che, Daniel R. Jiang +1
Innovations across science and industry are evaluated using randomized trials (a.k.a. A/B tests). While simple and robust, such static designs are inefficient or infeasible for tes…
cs.LG2023★ 1 cited
Weakly Coupled Deep Q-Networks
Ibrahim El Shar, Daniel R. Jiang
We propose weakly coupled deep Q-networks (WCDQN), a novel deep reinforcement learning algorithm that enhances performance in a class of structured problems called weakly coupled M…