11 papers
Contrastive learning-based agent modeling for deep reinforcement learning
Wenhao Ma, Yu-Cheng Chang, Jie Yang +2
Multi-agent systems often require agents to collaborate with or compete against other agents with diverse goals, behaviors, or strategies. Agent modeling is essential when designin…
Multi-Agent Coordination across Diverse Applications: A Survey
Lijun Sun, Yijun Yang, Qiqi Duan +5
Multi-agent coordination studies the underlying mechanism enabling the trending spread of diverse multi-agent systems (MAS) and has received increasing attention, driven by the exp…
A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy
Xiaowei Jiang, Liang Ou, Yanan Chen +4
The paper introduces a Fuzzy-based Attention (Fuzzy Attention Layer) mechanism, a novel computational approach to enhance the interpretability and efficacy of neural models in psyc…
A Self-Constructing Multi-Expert Fuzzy System for High-dimensional Data Classification
Yingtao Ren, Yu-Cheng Chang, Thomas Do +2
Fuzzy Neural Networks (FNNs) are effective machine learning models for classification tasks, commonly based on the Takagi-Sugeno-Kang (TSK) fuzzy system. However, when faced with h…
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System
Xiaowei Jiang, Beining Cao, Liang Ou +3
The rapid evolution of Brain-Computer Interfaces (BCIs) has significantly influenced the domain of human-computer interaction, with Steady-State Visual Evoked Potentials (SSVEP) em…
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding
Jinzhao Zhou, Yiqun Duan, Fred Chang +3
The remarkable success of large language models (LLMs) across various multi-modality applications is well established. However, integrating large language models with humans, or br…