47 citations · 85 across the 14 of their papers we have counts for
14 papers
Learning to Coordinate with Anyone
Lei Yuan, Lihe Li, Ziqian Zhang +5
In open multi-agent environments, the agents may encounter unexpected teammates. Classical multi-agent learning approaches train agents that can only coordinate with seen teammates…
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Lei Yuan, Zi-Qian Zhang, Ke Xue +6
Cooperative multi-agent reinforcement learning (CMARL) has shown to be promising for many real-world applications. Previous works mainly focus on improving coordination ability via…
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan, Feng Chen, Zhongzhang Zhang +1
Communication can promote coordination in cooperative Multi-Agent Reinforcement Learning (MARL). Nowadays, existing works mainly focus on improving the communication efficiency of…
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning
Cong Guan, Feng Chen, Lei Yuan +2
Utilizing messages from teammates can improve coordination in cooperative Multi-agent Reinforcement Learning (MARL). Previous works typically combine raw messages of teammates with…
Learning to branch with Tree MDPs
Lara Scavuzzo, Feng Yang Chen, Didier Chételat +4
State-of-the-art Mixed Integer Linear Program (MILP) solvers combine systematic tree search with a plethora of hard-coded heuristics, such as the branching rule. The idea of learni…
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin, Feng Chen, Tonghan Wang +5
Team adaptation to new cooperative tasks is a hallmark of human intelligence, which has yet to be fully realized in learning agents. Previous work on multi-agent transfer learning…
Rapid and Accurate Detection of SARS-CoV-2 Mutations using a Cas12a-based Sensing Platform
C He, C Lin, G Mo +14
The increasing prevalence of SARS-CoV-2 variants with spike mutations has raised concerns owing to higher transmission rates, disease severity, and escape from neutralizing antibod…
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
Zhiqian Chen, Feng Chen, Rongjie Lai +2
For node level graph encoding, a recent important state-of-art method is the graph convolutional networks (GCN), which nicely integrate local vertex features and graph topology in…
Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding
Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu +1
As the issue of freshwater shortage is increasing daily, it is critical to take effective measures for water conservation. According to previous studies, device level consumption c…
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks
Feng Chen, Baojian Zhou, Adil Alim +1
Detection of interesting (e.g., coherent or anomalous) clusters has been studied extensively on plain or univariate networks, with various applications. Recently, algorithms have b…
Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity
Feng Chen, Baojian Zhou
Sparsity-constrained optimization is an important and challenging problem that has wide applicability in data mining, machine learning, and statistics. In this paper, we focus on s…
Can Self-Censorship in News Media be Detected Algorithmically? A Case Study in Latin America
Rongrong Tao, Baojian Zhou, Feng Chen +4
Censorship in social media has been well studied and provides insight into how governments stifle freedom of expression online. Comparatively less (or no) attention has been paid t…
Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection
Baojian Zhou, Feng Chen
Structured sparse optimization is an important and challenging problem for analyzing high-dimensional data in a variety of applications such as bioinformatics, medical imaging, soc…
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators
Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah +27
We describe the design, implementation, and evaluation of EMBERS, an automated, 24x7 continuous system for forecasting civil unrest across 10 countries of Latin America using open…