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09/20/2023
Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations
Sensing and communication technologies have enhanced learning-based deci...
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06/11/2023
Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications
There has been growing interest in deep reinforcement learning (DRL) alg...
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03/25/2023
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
Object detection and multiple object tracking (MOT) are essential compon...
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11/24/2022
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties
Electric vehicles (EVs) are being rapidly adopted due to their economic ...
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10/05/2022
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
Communication technologies enable coordination among connected and auton...
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05/21/2022
Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer
Camouflaged object detection intends to discover the concealed objects h...
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08/12/2020