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20212026
most citedScalable Reinforcement Learning-based Neural Architecture Search

17 citations · 17 across the 5 of their papers we have counts for

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cs.LG2021

A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark

Amber Cassimon, Reinout Eyckerman, Siegfried Mercelis +2

In this paper, the authors investigate the Deep Sea Treasure (DST) problem as proposed by Vamplew et al. Through a number of proofs, the authors show the original DST problem to be…