3 papers
eess.SY2025
Reinforcement Learning based Constrained Optimal Control: an Interpretable Reward Design
Jingjie Ni, Fangfei Li, Xin Jin +2
This paper presents an interpretable reward design framework for reinforcement learning based constrained optimal control problems with state and terminal constraints. The problem…
eess.SY2023
Enhanced Q-Learning Approach to Finite-Time Reachability with Maximum Probability for Probabilistic Boolean Control Networks
Hongyue Fan, Jingjie Ni, Fangfei Li
In this paper, we investigate the problem of controlling probabilistic Boolean control networks (PBCNs) to achieve reachability with maximum probability in the finite time horizon.…
eess.SY2023
Reinforcement Learning Based Minimum State-flipped Control for the Reachability of Boolean Control Networks
Jingjie Ni, Yang Tang, Fangfei Li
This paper proposes model-free reinforcement learning methods for minimum-cost state-flipped control in Boolean control networks (BCNs). We tackle two questions: 1) finding the fli…