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Researchers Propose a Novel Representation Learning Framework to Address the Lack of Causal Characterization in Deep Learning Models

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...
IEEE

Collaborative Decision-Making Algorithm for Autonomous Driving Based on Evolutionary Game Theory

Abstract: Decision-making of autonomous driving is challenging due to high-density traffic and complex road environment. Based on vehicle to vehicle (V2V) communication, collaborative decision-making ...