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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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07/30/2023
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach
Electric autonomous vehicles (EAVs) are getting attention in future auto...
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07/30/2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty
In real-world multi-agent reinforcement learning (MARL) applications, ag...
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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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04/08/2023
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
Network pruning is a widely used technique to reduce computation cost an...
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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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03/08/2023
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles
Deep learning is the method of choice for trajectory prediction for auto...
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02/08/2023
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles
The recent advancements in wireless technology enable connected autonomo...
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12/06/2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Various methods for Multi-Agent Reinforcement Learning (MARL) have been ...
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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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10/19/2022
Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties
As electric vehicle (EV) technologies become mature, EV has been rapidly...
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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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09/17/2022
A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems
Electric vehicles (EVs) play critical roles in autonomous mobility-on-de...
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09/16/2022
Uncertainty Quantification of Collaborative Detection for Self-Driving
Sharing information between connected and autonomous vehicles (CAVs) fun...
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09/14/2022
Robust Constrained Reinforcement Learning
Constrained reinforcement learning is to maximize the expected reward su...
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03/18/2022
Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid
Traditional botnet attacks leverage large and distributed numbers of com...
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01/28/2022
A Secure and Efficient Federated Learning Framework for NLP
In this work, we consider the problem of designing secure and efficient ...
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12/18/2020
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks
Network pruning is a widely used technique to reduce computation cost an...
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03/09/2020
Behavior Planning For Connected Autonomous Vehicles Using Feedback Deep Reinforcement Learning
With the development of communication technologies, connected autonomous...
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10/01/2017