works on

From the 1 of 8 linked papers with an AI index.

activity
20242026
collaborators

8 papers

cs.MA2026

Argonaut: Interactive Visual Exploration for Distributed Optimization

Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras

Argonaut is a lightweight, containerized dashboard that lets users interactively visualize and explore the entire search process of distributed multi‑agent discrete‑choice optimiza…

cs.CR2026

Privacy-Aware Smart Cameras: View Coverage via Socially Responsible Coordination

Chuhao Qin, Lukas Esterle, Evangelos Pournaras

Coordination of view coverage via privacy-aware smart cameras is key to a more socially responsible urban intelligence. Rather than maximizing view coverage at any cost or over rel…

cs.MA2025

Resilient Charging Infrastructure via Decentralized Coordination of Electric Vehicles at Scale

Chuhao Qin, Alexandru Sorici, Andrei Olaru +2

The rapid adoption of electric vehicles (EVs) introduces major challenges for decentralized charging control. Existing decentralized approaches efficiently coordinate a large numbe…

cs.RO2025

Strategic Coordination of Drones via Short-term Distributed Optimization and Long-term Reinforcement Learning

Chuhao Qin, Evangelos Pournaras

This paper addresses the problem of autonomous task allocation by a swarm of autonomous, interactive drones in large-scale, dynamic spatio-temporal environments. When each drone in…

cs.MA2025

Strategic Coordination for Evolving Multi-agent Systems: A Hierarchical Reinforcement and Collective Learning Approach

Chuhao Qin, Evangelos Pournaras

Decentralized combinatorial optimization in evolving multi-agent systems poses significant challenges, requiring agents to balance long-term decision-making, short-term optimized c…

cs.RO2025

Coordinated Multi-Drone Last-mile Delivery: Learning Strategies for Energy-aware and Timely Operations

Chuhao Qin, Arun Narayanan, Evangelos Pournaras

Drones have recently emerged as a faster, safer, and cost-efficient way for last-mile deliveries of parcels, particularly for urgent medical deliveries highlighted during the pande…