3 papers
eess.SY2026
Combinatorial Safety-Critical Coordination of Multi-Agent Systems via Mixed-Integer Responsibility Allocation and Control Barrier Functions
Johannes Autenrieb, Mark Spiller, Hyo-Sang Shin +1
This paper presents a hybrid safety-critical coordination architecture for multi-agent systems operating in dense environments. While control barrier functions (CBFs) provide forma…
cs.LG2026
Dynamic Deep-Reinforcement-Learning Algorithm in Partially Observable Markov Decision Processes
Saki Omi, Hyo-Sang Shin, Namhoon Cho +1
Recent studies have greatly improved reinforcement learning, and an increased interest in real-world implementation has emerged. In many cases, the implementation is challenged by…
math.OC2024
A Passivity-Based Method for Accelerated Convex Optimisation
Namhoon Cho, Hyo-Sang Shin
This study presents a constructive methodology for designing accelerated convex optimisation algorithms in continuous-time domain. The two key enablers are the classical concept of…