Global optimization framework for real-time route guidance via variable message sign. - Bai Liu 003; Ke Han; Jianming Hu (CoRR, 2016)

Reinforcement Learning for Optimal Control of Queueing Systems. - Bai Liu 003; Qiaomin Xie; Eytan H. Modiano (Allerton, 2019)

Optimal control for networks with unobservable malicious nodes. - Bai Liu 003; Eytan H. Modiano (Perform. Evaluation, 2021)

Universal Policy Tracking: Scheduling for Wireless Networks with Delayed State Observation. - Bai Liu 003; Eytan H. Modiano (Allerton, 2022)

Optimal Control for Networks with Unobservable MaliciousNodes. - Bai Liu 003; Eytan H. Modiano (SIGMETRICS Perform. Evaluation Rev., 2022)

RL-QN: A Reinforcement Learning Framework for Optimal Control of Queueing Systems. - Bai Liu 003; Qiaomin Xie; Eytan H. Modiano (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2022)

Tracking MaxWeight: Optimal Control for Partially Observable and Controllable Networks. - Bai Liu 003; Qingkai Liang; Eytan H. Modiano (IEEE/ACM Trans. Netw., 2023)

Tracking Drift-Plus-Penalty: Utility Maximization for Partially Observable and Controllable Networks. - Bai Liu 003; Quang Minh Nguyen; Qingkai Liang; Eytan H. Modiano (IEEE/ACM Trans. Netw., 2024)