Prediction Based Decision Making for Autonomous Highway Driving. - Mustafa Yildirim; Sajjad Mozaffari; Luc McCutcheon; Mehrdad Dianati; Alireza Tamaddoni-Nezhad; Saber Fallah (ITSC, 2022)

Value Summation: A Novel Scoring Function for MPC-based Model-based Reinforcement Learning. - Mehran Raisi; Amirhossein Noohian; Luc McCutcheon; Saber Fallah (CoRR, 2022)

Adaptive PD Control Using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays. - Luc McCutcheon; Saber Fallah (IROS, 2023)

In-Context Ensemble Improves Video-Language Models for Low-Level Workflow Understanding from Human Demonstrations. - Moucheng Xu; Evangelos Chatzaroulas; Luc McCutcheon; Abdul Ahad; Hamzah Azeem; Janusz Marecki; Ammar Anwar (CoRR, 2024)

Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning. - Luc McCutcheon; Bahman Gharesifard; Saber Fallah (CoRR, 2025)

Meta-World+: An Improved, Standardized, RL Benchmark. - Reginald McLean; Evangelos Chatzaroulas; Luc McCutcheon; Frank Röder; Tianhe Yu; Zhanpeng He; K. R. Zentner; Ryan Julian; Jordan K. Terry; Isaac Woungang; Nariman Farsad; Pablo Samuel Castro (CoRR, 2025)