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eess.SY2026
Submodular Multi-Agent Policy Learning for Online Distributed Task Allocation in Open Multi-Agent Systems
Jing Liu, Yangyang Yang, Luca Ballotta +3
This paper studies multi-agent reinforcement learning with submodular team utilities for online distributed task allocation. In this setting, each agent selects one action from a l…
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
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…