25 citations · 85 across the 36 of their papers we have counts for
7 papers · 1 filter
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures
Chapman Siu, Jason Traish, Richard Yi Da Xu
We propose using regularization for Multi-Agent Reinforcement Learning rather than learning explicit cooperative structures called {\em Multi-Agent Regularized Q-learning} (MARQ).…
Dual Behavior Regularized Reinforcement Learning
Chapman Siu, Jason Traish, Richard Yi Da Xu
Reinforcement learning has been shown to perform a range of complex tasks through interaction with an environment or collected leveraging experience. However, many of these approac…
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning
Chapman Siu, Jason Traish, Richard Yi Da Xu
This paper introduces Greedy UnMix (GUM) for cooperative multi-agent reinforcement learning (MARL). Greedy UnMix aims to avoid scenarios where MARL methods fail due to overestimati…
Alleviating Mode Collapse in GAN via Diversity Penalty Module
Sen Pei, Richard Yi Da Xu, Shiming Xiang +1
The vanilla GAN (Goodfellow et al. 2014) suffers from mode collapse deeply, which usually manifests as that the images generated by generators tend to have a high similarity amongs…
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
Wei Huang, Yayong Li, Weitao Du +4
Graph convolutional networks (GCNs) and their variants have achieved great success in dealing with graph-structured data. Nevertheless, it is well known that deep GCNs suffer from…
Resolution-invariant Person ReID Based on Feature Transformation and Self-weighted Attention
Ziyue Zhang, Shuai Jiang, Congzhentao Huang +1
Person Re-identification (ReID) is a critical computer vision task which aims to match the same person in images or video sequences. Most current works focus on settings where the…
Bayesian data assimilation for estimating epidemic evolution: a COVID-19 study
Xian Yang, Shuo Wang, Yuting Xing +4
The evolution of epidemiological parameters, such as instantaneous reproduction number Rt, is important for understanding the transmission dynamics of infectious diseases. Current…