12 citations · 16 across the 7 of their papers we have counts for
7 papers
Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning
Chengpeng Hu, Ziming Wang, Bo Yuan +3
Dynamic material handling (DMH) involves the assignment of dynamically arriving material transporting tasks to suitable vehicles in real time for minimising makespan and tardiness.…
Evolutionary Reinforcement Learning via Cooperative Coevolution
Chengpeng Hu, Jialin Liu, Xin Yao
Recently, evolutionary reinforcement learning has obtained much attention in various domains. Maintaining a population of actors, evolutionary reinforcement learning utilises the c…
Constrained Reinforcement Learning for Dynamic Material Handling
Chengpeng Hu, Ziming Wang, Jialin Liu +3
As one of the core parts of flexible manufacturing systems, material handling involves storage and transportation of materials between workstations with automated vehicles. The imp…
Evolving Constrained Reinforcement Learning Policy
Chengpeng Hu, Jiyuan Pei, Jialin Liu +1
Evolutionary algorithms have been used to evolve a population of actors to generate diverse experiences for training reinforcement learning agents, which helps to tackle the tempor…
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…
Reinforcement Learning with Dual-Observation for General Video Game Playing
Chengpeng Hu, Ziqi Wang, Tianye Shu +4
Reinforcement learning algorithms have performed well in playing challenging board and video games. More and more studies focus on improving the generalisation ability of reinforce…
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…