most citedA Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science

49 citations · 49 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2024

Phase Re-service in Reinforcement Learning Traffic Signal Control

Zhiyao Zhang, George Gunter, Marcos Quinones-Grueiro +4

This article proposes a novel approach to traffic signal control that combines phase re-service with reinforcement learning (RL). The RL agent directly determines the duration of t…

cs.MA2024

Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers

Yuhang Zhang, Zhiyao Zhang, Marcos Quiñones-Grueiro +4

This article presents the first field deployment of a multi-agent reinforcement-learning (MARL) based variable speed limit (VSL) control system on the I-24 freeway near Nashville,…

cs.CL202449 cited

A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science

Clayton Cohn, Nicole Hutchins, Tuan Le +1

This paper explores the use of large language models (LLMs) to score and explain short-answer assessments in K-12 science. While existing methods can score more structured math and…

eess.SY2023

A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances

Ibrahim Ahmed, Marcos Quinones-Grueiro, Gautam Biswas

In this work, we present an approach to supervisory reinforcement learning control for unmanned aerial vehicles (UAVs). UAVs are dynamic systems where control decisions in response…

eess.SY2023

Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems

Ibrahim Ahmed, Marcos Quinones-Grueiro, Gautam Biswas

In this paper, we leverage ideas from model-based control to address the sample efficiency problem of reinforcement learning (RL) algorithms. Accelerating learning is an active fie…