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|---|
![]() Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous DrivingIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025 |
![]() Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement LearningIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2024 |
![]() CAT: Closed-loop Adversarial Training for Safe End-to-End DrivingConference on Robot Learning (CoRL), 2023 |
![]() Recent Advancements in End-to-End Autonomous Driving using Deep
Learning: A SurveyIEEE Transactions on Intelligent Vehicles (TIV), 2023 |
![]() A Bibliometric Analysis and Review on Reinforcement Learning for
Transportation ApplicationsTransportmetrica B: Transport Dynamics (TBTD), 2022 |
![]() Reward (Mis)design for Autonomous DrivingArtificial Intelligence (AI), 2021 |