Hierarchical State Abstraction Based on Structural Information
Principles

Hierarchical State Abstraction Based on Structural Information Principles

24 April 2023

Hao Peng

Philip S. Yu

Papers citing "Hierarchical State Abstraction Based on Structural Information Principles"

8 / 8 papers shown

Title
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning Hao Peng Xiang Huang Shuo Sun Ruitong Zhang Philip S. Yu 48 0 0 07 May 2025
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 35 0 0 09 Nov 2024
Effective Exploration Based on the Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li 18 1 0 09 Oct 2024
SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection Yingguang Yang Qi Wu Buyun He Hao Peng Renyu Yang Zhifeng Hao Yong Liao AAML 58 5 0 18 May 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
Adversarial Socialbots Modeling Based on Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li AAML 26 12 0 13 Dec 2023
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization Dongcheng Zou Senzhang Wang Xuefeng Li Hao Peng Yuandong Wang Chunyang Liu Kehua Sheng Bo-Wen Zhang AI4TS 28 20 0 06 Nov 2023
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs Guangjie Zeng Hao Peng Angsheng Li Zhiwei Liu Chunyang Liu Philip S. Yu Lifang He 15 7 0 05 Sep 2023