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Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
In this paper, we propose DeLAMA, a decentralized multi-agent lifelong collaborative learning algorithm with dynamic collaboration graphs.
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
Aligning large language models (LLMs) with human values is imperative to mitigate potential adverse effects resulting from their misuse.
Robust Interference Mitigation techniques for Direct Position Estimation
Global Navigation Satellite System (GNSS) is pervasive in navigation and positioning applications, where precise position and time referencing estimations are required.
Unrolled Graph Learning for Multi-Agent Collaboration
To fill this gap, we propose a distributed multi-agent learning model inspired by human collaboration, in which the agents can autonomously detect suitable collaborators and refer to collaborators' model for better performance.
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