2 papers
cs.LG2025
Decoupled Hierarchical Reinforcement Learning with State Abstraction for Discrete Grids
Qingyu Xiao, Yuanlin Chang, Youtian Du
Effective agent exploration remains a core challenge in reinforcement learning (RL) for complex discrete state-space environments, particularly under partial observability. This pa…
cs.LG2025
Graph Probability Aggregation Clustering
Yuxuan Yan, Na Lu, Difei Mei +2
Traditional clustering methods typically focus on either cluster-wise global clustering or point-wise local clustering to reveal the intrinsic structures in unlabeled data. Global…