activity
20232026
most citedSafety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles

1 citations · 1 across the 11 of their papers we have counts for

collaborators

12 papers

cs.RO2026

A Mixed-Reality Testbed for Autonomous Vehicles

H. M. Sabbir Ahmad, Ehsan Sabouni, Emrullah Celik +4

We propose a mixed-reality, hardware-in-the-loop (HIL) testbed for autonomous vehicles that seamlessly integrates a physical testbed of mobile robots with a high-fidelity simulatio…

cs.LG2026

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning

Zijian Guo, İlker Işık, H. M. Sabbir Ahmad +1

Specification-guided reinforcement learning (RL) provides a principled framework for encoding complex, temporally extended tasks using formal specifications such as linear temporal…

eess.SY2026

Multi-Robot Multi-Queue Control via Exhaustive Assignment Actor-Critic Learning

Mohammad Merati, H. M. Sabbir Ahmad, Wenchao Li +1

We study online task allocation for multi-robot, multi-queue systems with asymmetric stochastic arrivals and switching delays. We formulate the problem in discrete time: each locat…

cs.LG2025

Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems

H. M. Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff +6

We address the problem of safe policy learning in multi-agent safety-critical autonomous systems. In such systems, it is necessary for each agent to meet the safety requirements at…

cs.AI2025

One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning

Zijian Guo, İlker Işık, H. M. Sabbir Ahmad +1

Generalizing to complex and temporally extended task objectives and safety constraints remains a critical challenge in reinforcement learning (RL). Linear temporal logic (LTL) offe…

cs.RO2025

Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware

Keshawn Smith, Zhili Zhang, H M Sabbir Ahmad +5

Deep multi-agent reinforcement learning (MARL) has been demonstrated effectively in simulations for multi-robot problems. For autonomous vehicles, the development of vehicle-to-veh…

eess.SY2024

Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems

Ehsan Sabouni, H. M. Sabbir Ahmad, Vittorio Giammarino +3

Optimal control methods provide solutions to safety-critical problems but easily become intractable. Control Barrier Functions (CBFs) have emerged as a popular technique that facil…

eess.SY2024

Secure Control of Connected and Automated Vehicles Using Trust-Aware Robust Event-Triggered Control Barrier Functions

H M Sabbir Ahmad, Ehsan Sabouni, Akua Dickson +3

We address the security of a network of Connected and Automated Vehicles (CAVs) cooperating to safely navigate through a conflict area (e.g., traffic intersections, merging roadway…

cs.RO2023★ 1 cited

Safety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles

Zhili Zhang, H M Sabbir Ahmad, Ehsan Sabouni +4

We address the problem of coordination and control of Connected and Automated Vehicles (CAVs) in the presence of imperfect observations in mixed traffic environment. A commonly use…

cs.MA2023

Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles

H M Sabbir Ahmad, Ehsan Sabouni, Wei Xiao +2

We address the security of a network of Connected and Automated Vehicles (CAVs) cooperating to navigate through a conflict area. Adversarial attacks such as Sybil attacks can cause…

cs.RO2023

Optimal Control of Connected Automated Vehicles with Event-Triggered Control Barrier Functions: a Test Bed for Safe Optimal Merging

Ehsan Sabouni, H. M. Sabbir Ahmad, Wei Xiao +2

We address the problem of controlling Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network subject to hard safety constraints. It has been shown that such…

eess.SY2023

Merging control in mixed traffic with safety guarantees: a safe sequencing policy with optimal motion control

Ehsan Sabouni, H. M. Sabbir Ahmad, Christos G. Cassandras +1

We address the problem of merging traffic from two roadways consisting of both Connected Autonomous Vehicles (CAVs) and Human Driven Vehicles (HDVs). Guaranteeing safe merging in s…