Learning efficient branch-and-bound for solving Mixed Integer Linear Programs.
Appl. Soft Comput., 2025
Automatic tuning of robust model predictive control in iterative tasks using efficient Bayesian optimization.
Trans. Inst. Meas. Control, 2024
Learning-based Distributed Model Predictive Control with State-dependent Uncertainty Using Neural Network.
Proceedings of the American Control Conference, 2024
GLDAP: Global Dynamic Action Persistence Adaptation for Deep Reinforcement Learning.
ACM Trans. Auton. Adapt. Syst., June, 2023
Knowledge Reuse of Multi-Agent Reinforcement Learning in Cooperative Tasks.
Entropy, 2022