Jingda Wu
Orcid: 0000-0002-7336-4492
According to our database1,
Jingda Wu
authored at least 37 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Sampling Efficient Deep Reinforcement Learning Through Preference-Guided Stochastic Exploration.
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024
Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Ensembled Traffic-Aware Transformer-Based Predictive Energy Management for Electrified Vehicles.
IEEE Trans. Intell. Transp. Syst., September, 2024
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions].
IEEE Robotics Autom. Mag., September, 2024
Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion.
IEEE Trans. Ind. Electron., May, 2024
Transformer-Based Traffic-Aware Predictive Energy Management of a Fuel Cell Electric Vehicle.
IEEE Trans. Veh. Technol., April, 2024
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024
Expert Syst. Appl., 2024
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024.
CoRR, 2024
Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles.
CoRR, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2023
Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2023
Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2022
Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery.
IEEE Trans. Ind. Electron., 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges.
CoRR, 2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.
CoRR, 2022
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving.
IEEE Trans. Veh. Technol., 2021
Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm.
IEEE Trans. Ind. Informatics, 2021
Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving.
CoRR, 2021
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving.
CoRR, 2021
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving.
CoRR, 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021
2020
Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm.
IEEE Trans. Veh. Technol., 2020
Modeling Human Driving Behavior in Highway Scenario using Inverse Reinforcement Learning.
CoRR, 2020
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding.
CoRR, 2020
Reference-Free Human-Automation Shared Control for Obstacle Avoidance of Automated Vehicles.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
2017
Proceedings of the 12th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2017