most citedInteractive Evolutionary Multi-Objective Optimization via Learning-to-Rank

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.NE2022★ 4 cited

Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank

Ke Li, Guiyu Lai, Xin Yao

In practical multi-criterion decision-making, it is cumbersome if a decision maker (DM) is asked to choose among a set of trade-off alternatives covering the whole Pareto-optimal f…

cs.MA2019

SMIX(): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning

Xinghu Yao, Chao Wen, Yuhui Wang +1

Learning a stable and generalizable centralized value function (CVF) is a crucial but challenging task in multi-agent reinforcement learning (MARL), as it has to deal with the issu…