200 citations · 671 across the 38 of their papers we have counts for
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cs.LG2018
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection
Kexin Huang, Rodrigo Nogueira
Epistasis (gene-gene interaction) is crucial to predicting genetic disease. Our work tackles the computational challenges faced by previous works in epistasis detection by modeling…
cs.LG2018
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation
Rodrigo Nogueira, Jannis Bulian, Massimiliano Ciaramita
We propose a method to efficiently learn diverse strategies in reinforcement learning for query reformulation in the tasks of document retrieval and question answering. In the prop…