12 citations · 20 across the 11 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.NE2021
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization
Yongxin Zhang, Jiahai Wang, Zizhen Zhang +1
Learning-based heuristics for solving combinatorial optimization problems has recently attracted much academic attention. While most of the existing works only consider the single…
cs.AI2021★ 1 cited
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems
Zizhen Zhang, Zhiyuan Wu, Hang Zhang +1
Deep reinforcement learning (DRL) has recently shown its success in tackling complex combinatorial optimization problems. When these problems are extended to multiobjective ones, i…