10 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…
Diffusion-Guided Uncertainty-Aware Delayed Policy Optimization
Junqi Tu, Zejiao Liu, Fangfei Li +1
Reinforcement learning in real world environments often suffers from severe performance degradation due to delayed feedback. Existing approaches typically mitigate performance degr…
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…
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning
Zejiao Liu, Junqi Tu, Yitian Hong +4
In cooperative Multi-Agent Reinforcement Learning (MARL), efficient exploration is crucial for optimizing the performance of joint policy. However, existing methods often update jo…
Robust and Efficient Communication in Multi-Agent Reinforcement Learning
Zejiao Liu, Yi Li, Jiali Wang +6
Multi-agent reinforcement learning (MARL) has made significant strides in enabling coordinated behaviors among autonomous agents. However, most existing approaches assume that comm…
Secure Distributed Consensus Estimation under False Data Injection Attacks: A Defense Strategy Based on Partial Channel Coding
Jiahao Huang, Marios M. Polycarpou, Wen Yang +2
This article investigates the security issue caused by false data injection attacks in distributed estimation, wherein each sensor can construct two types of residues based on loca…
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…
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…
Q-learning Based Optimal False Data Injection Attack on Probabilistic Boolean Control Networks
Xianlun Peng, Yang Tang, Fangfei Li +1
In this paper, we present a reinforcement learning (RL) method for solving optimal false data injection attack problems in probabilistic Boolean control networks (PBCNs) where the…