Dynamic Voltage and Frequency Scaling in NoCs with Supervised and Reinforcement Learning Techniques. - Quintin Fettes; Mark Clark; Razvan C. Bunescu; Avinash Karanth; Ahmed Louri (IEEE Trans. Computers, 2019)

Hardware-Level Thread Migration to Reduce On-Chip Data Movement Via Reinforcement Learning. - Quintin Fettes; Avinash Karanth; Razvan C. Bunescu; Ahmed Louri; Kyle Shiflett (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning. - Aditya Srinivas Timmaraju; Mehdi Mashayekhi; Mingliang Chen; Qi Zeng; Quintin Fettes; Wesley Cheung; Yihan Xiao; Manojkumar Rangasamy Kannadasan; Pushkar Tripathi; Sean Gahagan; Miranda Bogen; Rob Roudani (KDD, 2023)

Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices. - Quintin Fettes; Avinash Karanth; Razvan C. Bunescu; Brandon Beckwith; Sreenivas Subramoney (CoRR, 2023)

Improving Model Factuality with Fine-grained Critique-based Evaluator. - Yiqing Xie; Wenxuan Zhou; Pradyot Prakash; Di Jin; Yuning Mao; Quintin Fettes; Arya Talebzadeh; Sinong Wang; Han Fang; Carolyn P. Rosé; Daniel Fried; Hejia Zhang (ACL (1), 2025)