collaborators

21 papers

eess.SY2026

Context-Triggered Robust MPC for Temporal Logic Specifications

Arash Bahari Kordabad, Satya Prakash Nayak, Sadegh Soudjani +1

We consider the problem of synthesizing robust feedback controllers for discrete-time linear systems that ensure the satisfaction of context-dependent linear temporal logic specifi…

eess.SY2026

Multi-Agent Temporal Logic Planning via Penalty Functions and Block-Coordinate Optimization

Eleftherios E. Vlahakis, Arash Bahari Kordabad, Lars Lindemann +3

Multi-agent planning under Signal Temporal Logic (STL) is often hindered by collaborative tasks that lead to computational challenges due to the inherent high dimensionality of the…

cs.AI2026

BarrierBench: Evaluating Large Language Models for Safety Verification in Dynamical Systems

Ali Taheri, Alireza Taban, Sadegh Soudjani +1

Safety verification of dynamical systems via barrier certificates is essential for ensuring correctness in autonomous applications. Synthesizing these certificates involves discove…

cs.AI2026

Average Reward Reinforcement Learning for Omega-Regular and Mean-Payoff Objectives

Milad Kazemi, Mateo Perez, Fabio Somenzi +3

Recent advances in reinforcement learning (RL) have renewed interest in reward design for shaping agent behavior, but manually crafting reward functions is tedious and error-prone.…

eess.SY2026

Stochastic Generalized Dynamic Games with Coupled Chance Constraints

Seyed Shahram Yadollahi, Hamed Kebriaei, Sadegh Soudjani

This paper investigates stochastic generalized dynamic games with coupling chance constraints, where agents have incomplete information about uncertainties satisfying a concentrati…

cs.AI2026

Kernel-Based Learning of Safety Barriers

Oliver Schön, Zhengang Zhong, Sadegh Soudjani

The rapid integration of AI algorithms in safety-critical applications such as autonomous driving and healthcare is raising significant concerns about the ability to meet stringent…