Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control. - Ashley Peake; Joe McCalmon; Benjamin Raiford; Tongtong Liu 001; Sarra M. Alqahtani (ICTAI, 2020)

Robustness-driven Exploration with Probabilistic Metric Temporal Logic. - Xiaotian Liu; Pengyi Shi; Tongtong Liu 001; Sarra M. Alqahtani; Paúl Pauca; Miles R. Silman (ICAART (2), 2021)

LSTM-Based Anomalous Behavior Detection in Multi-Agent Reinforcement Learning. - Cameron Lischke; Tongtong Liu 001; Joe McCalmon; Md Asifur Rahman; Talal Halabi; Sarra M. Alqahtani (CSR, 2022)

Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness. - Tongtong Liu 001; Joe McCalmon; Md Asifur Rahman; Cameron Lischke; Talal Halabi; Sarra M. Alqahtani (PRIMA, 2022)

Safe Reinforcement Learning via Observation Shielding. - Joe McCalmon; Tongtong Liu 001; Reid Goldsmith; Andrew Cyhaniuk; Talal Halabi; Sarra M. Alqahtani (HICSS, 2023)

Adversarial Behavior Exclusion for Safe Reinforcement Learning. - Md Asifur Rahman; Tongtong Liu 001; Sarra M. Alqahtani (IJCAI, 2023)

A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents. - Tongtong Liu 001; Joe McCalmon; Thai Le; Md Asifur Rahman; Dongwon Lee 001; Sarra M. Alqahtani (Auton. Agents Multi Agent Syst., 2023)