IEEE

A dynamic Scheduling Optimization Algorithm for Multi-layer Space-Air-Ground Integrated Network Resources Based on Deep Reinforcement Learning

SAGIN has become a cutting-edge research direction in the field of communication and computing integration to meet the core requirements of global seamless 3D coverage and "on-demand access anytime, ...
IEEE

Reinforcement and Statistical Learning-Assisted Evolutionary Algorithm for Space-Limited Aircraft Assembly Scheduling Problem

Abstract: This work investigates the space-limited aircraft assembly scheduling problem (SAASP) based on real-world cases. A computational model, minimizing the makespan, is developed to formulate the ...
GitHub

Multi-Level-Multi-Queue (MLMQ), a GPU-friendly data structure design to accelerate Single-Source Shortest Path (SSSP) on GPUs

The main code of MLMQ is in core, including the high-level templated framework and instantiated queues. SSSP is the SSSP program based on MLMQ, where users can specify the types of queues and their ...
GitHub

navonilmandal/intelligent-traffic-control

The system dynamically controls traffic signals based on real-time congestion.
blockchain

Anthropic Managed Agents: Latest Engineering Analysis on Hosted Long‑Running AI Agents

According to @AnthropicAI on Twitter, Anthropic’s engineering blog details Managed Agents, a hosted service for long-running AI agents designed to support "programs as yet unthought of" (source: ...