IEEE

Multi-Objective Genetic Programming Assisted Stochastic Deep Reinforcement Learning for Dynamic Knowledge Integration in Transportation Networks

Abstract: Transportation Networks (TNs) play a critical role in economic and social systems, yet the dynamic nature and inherent heterogeneity of TN data pose challenges for Dynamic Knowledge ...
GitHub

PReMM: LLM-Based Program Repair for Multi-Method Bugs via Divide and Conquer

PReMM, an LLM-based program repair framework for Multi-Method Bugs. PReMM builds on three core components: the faulty method clustering component to partition the faulty methods into clusters based on ...
InfoQ

Google’s Eight Essential Multi-Agent Design Patterns

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...
Newsweek

Lake Mead Warnings Issued by Multiple Experts

A number of experts have warned that Lake Mead is going to continue drying up unless something is done "now," in a series of essays released in a report by the Colorado River Research Group. "Our ...
IEEE

Multi-Level Structural Contrastive Subspace Clustering Network

Abstract: Deep subspace clustering methods based on autoencoder (AE) have achieved impressive performance in various applications. However, these methods often place excessive reliance on the AE ...