Showing 1–20 of 35 results
/ Date/ Name
Mar 18, 2020Vision-Based Autonomous Driving: A Model Learning ApproachFeb 21, 2021Safe Reinforcement Learning Using Robust Action GovernorMar 29, 2019Autonomous Highway Driving using Deep Reinforcement LearningOct 4, 2019Co-optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview InformationDec 10, 2023Minimum-Time Trajectory Optimization With Data-Based Models: A Linear Programming ApproachJul 29, 2025Hierarchical Game-Based Multi-Agent Decision-Making for Autonomous VehiclesSep 11, 2025Taming Spontaneous Stop-and-Go Traffic Waves: A Computational Mechanism Design PerspectiveMar 9, 2026NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous DrivingMay 24, 2023KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving TasksJan 16, 2022Potential Game-Based Decision-Making for Autonomous DrivingAug 4, 2022Safe and Human-Like Autonomous Driving: A Predictor-Corrector Potential Game ApproachJun 22, 2023Targeted collapse regularized autoencoder for anomaly detection: black hole at the centerSep 20, 2020Towards Interpretable-AI Policies Induction using Evolutionary Nonlinear Decision Trees for Discrete Action SystemsJan 10, 2017H-infinity Filtering for Cloud-Aided Semi-active Suspension with Delayed InformationFeb 26, 2025Learning Autonomy: Off-Road Navigation Enhanced by Human InputAug 4, 2023Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise ControlMay 17, 2020Action Governor for Discrete-Time Linear Systems with Non-Convex ConstraintsMay 11, 2020A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot InformationSep 25, 2020Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart WorldMar 31, 2025A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective