6 papers
Submodular Policy Learning for Distributed Task Allocation in Open Multi-Agent Systems
Jing Liu, Luca Ballotta, Yangyang Yang +3
This paper studies policy learning for distributed task allocation in open multi-agent systems, where agents may join and leave in a time-varying fashion, with submodular stage tea…
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…
Differential Game with Geometric Formulation for Differential Systems Under Bilateral Perception Constraints
Xinyi Zhu, Jiali Wang, Yang Tang +2
This letter employs differential game theory to address the defense problem of a circular target area with perception constraints, involving a single defender and a single attacker…
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…
Distributed Task Allocation for Multi-Agent Systems: A Submodular Optimization Approach
Jing Liu, Fangfei Li, Xin Jin +1
This paper addresses dynamic task allocation in resource-constrained multi-agent systems (MASs) with sequentially updated assignments. We develop a submodular maximization framewor…
Computer vision tasks for intelligent aerospace missions: An overview
Huilin Chen, Qiyu Sun, Fangfei Li +1
Computer vision tasks are crucial for aerospace missions as they help spacecraft to understand and interpret the space environment, such as estimating position and orientation, rec…