IEEE

Autonomous Operations With a Safe Reinforcement Learning Approach for Urban Rail Transit

Abstract: Reinforcement learning has increasingly showcased its potential in decision-making for the autonomous operation of urban rail transit. However, the inability of reinforcement learning to ...
IEEE

Semi-Supervised Graph Structure Learning via Dual Reinforcement of Label and Prior Structure

Abstract: Graph neural networks (GNNs) have achieved considerable success in dealing with graph-structured data by the message-passing mechanism. Actually, this mechanism relies on a fundamental ...