most citedDiverse Behavior Is What Game AI Needs: Generating Varied Human-Like Playing Styles Using Evolutionary Multi-Objective Deep Reinforcement Learning

3 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning

Yunhui Liu, Yongchao Liu, Yinfeng Chen +3

Hierarchical knowledge structures are ubiquitous across real-world domains and play a vital role in organizing information from coarse to fine semantic levels. While such structure…

cs.LG2026

Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach

Yunhui Liu, Qizhuo Xie, Yinfeng Chen +4

Graph anomaly detection (GAD) aims to identify nodes that deviate from normal patterns in structure or features. While recent GNN-based approaches have advanced this task, they str…

cs.LG2019★ 3 cited

Diverse Behavior Is What Game AI Needs: Generating Varied Human-Like Playing Styles Using Evolutionary Multi-Objective Deep Reinforcement Learning

Ruimin Shen, Yan Zheng, Jianye Hao +2

this paper has been withdrawn