3 papers
cs.NE2026
An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models
Kei Nishihara, Yaochu Jin, Masaya Nakata
An ensemble of surrogate models helps improve the prediction quality and robustness of surrogate models, and in turn, the search performance of surrogate-assisted evolutionary algo…
cs.LG2025
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning
Zejiao Liu, Junqi Tu, Yitian Hong +4
In cooperative Multi-Agent Reinforcement Learning (MARL), efficient exploration is crucial for optimizing the performance of joint policy. However, existing methods often update jo…
cs.LG2024
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
Peng Liao, XiLu Wang, Yaochu Jin +1
Deploying models across diverse devices demands tradeoffs among multiple objectives due to different resource constraints. Arguably, due to the small model trap problem in multi-ob…