Jingda Wu

发表

Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration

Xiangkun He, Cong Zhang, Wenhui Huang, 2022, 2206.09627.

Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving

Zhiyu Huang, Haochen Liu, Jingda Wu, 2022, ArXiv.

Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration

Xiangkun He, Cong Zhang, Wenhui Huang, 2022, IEEE transactions on neural networks and learning systems.

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios

S. Yuan, Xueyuan Li, Zirui Li, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges

S. Yuan, Xueyuan Li, Fan Yang, 2022, ArXiv.

Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving

Chen Lv, Zhiyu Huang, Wenhui Huang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning

Chen Lv, Xiangkun He, Wenhui Huang, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving

Chen Lv, Zhiyu Huang, Jingda Wu, 2023, IEEE Transactions on Intelligent Vehicles.

Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving pdf

Jingda Wu, Chen Lv, Zhiyu Huang, 2021, ArXiv.

Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving

Zhiyu Huang, Haochen Liu, Jingda Wu, 2022, IEEE transactions on neural networks and learning systems.

Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery

Jingda Wu, Zhongyi Quan, Josep Pou, 2021, IEEE Transactions on Industrial Electronics.

Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning

Jingda Wu, Chen Lv, Zhiyu Huang, 2020, IEEE Transactions on Intelligent Transportation Systems.

Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus

Hongwen He, Jingda Wu, Jiankun Peng, 2018, Applied Energy.

Multiple Learning Neural Network Algorithm for Parameter Estimation of Proton Exchange Membrane Fuel Cell Models

Hailong Huang, Chao Huang, Jingda Wu, 2022, Green Energy and Intelligent Transportation.

Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving

Zhiyu Huang, Haochen Liu, Jingda Wu, 2022, IEEE Transactions on Intelligent Transportation Systems.

Multi-Modal Sensor Fusion-Based Deep Neural Network for End-to-End Autonomous Driving With Scene Understanding

Jingda Wu, Chen Lv, Zhiyu Huang, 2020, IEEE Sensors Journal.

Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving

Zhiyu Huang, Haochen Liu, Wenhui Huang, 2023, ArXiv.

Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving

Jingda Wu, Chen Lv, Zhiyu Huang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving

Zhiyu Huang, Jingda Wu, Zhongxu Hu, 2022, Engineering.

Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm

Jingda Wu, Zhongyi Quan, Yun Wei Li, 2020, IEEE Transactions on Vehicular Technology.

Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving pdf

Jingda Wu, Chen Lv, Wenhui Huang, 2021, ArXiv.

Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving pdf

Jingda Wu, Chen Lv, Chao Huang, 2021, ArXiv.

Digital Twin-enabled Reinforcement Learning for End-to-end Autonomous Driving

Chen Lv, Zhiyu Huang, P. Hang, 2021, 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI).

Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm

Jingda Wu, Yu Wang, Zhongbao Wei, 2021, IEEE Transactions on Industrial Informatics.

Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving

Jingda Wu, Chen Lv, Chao Huang, 2021, IEEE Transactions on Vehicular Technology.

Energy management based on reinforcement learning with double deep Q-learning for a hybrid electric tracked vehicle

Jingda Wu, Yuecheng Li, Hongwen He, 2019, Applied Energy.

Energy Management Strategy for a Series Hybrid Electric Vehicle Using Improved Deep Q-network Learning Algorithm with Prioritized Replay

Hongwen He, Jingda Wu, Jiankun Peng, 2019, DEStech Transactions on Environment, Energy and Earth Sciences.

Reference-Free Human-Automation Shared Control for Obstacle Avoidance of Automated Vehicles

Chao Huang, Chen Lv, Peng Hang, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Parameter Matching and Simulation Analysis of Electromechanical Coupling Device for Hybrid Electric Vehicle

Hongwen He, Jingda Wu, Jiankun Peng, 2017 .

Comparative Analysis on the Rule-based Control Strategy of Two Typical Hybrid Electric Vehicle Powertrain

Hongwen He, Jingda Wu, Jiankun Peng, 2016 .

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments

Xueyuan Li, Zirui Li, Qi Liu, 2022, ArXiv.

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving

Zhiyu Huang, Xiangkun He, Jingda Wu, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion

Haohan Yang, Jingda Wu, Chen Lv, 2024, IEEE Transactions on Industrial Electronics.

Confidence-aware reinforcement learning for energy management of electrified vehicles

Chao Huang, Jingda Wu, Hongwen He, 2024, Renewable and Sustainable Energy Reviews.

A transfer-based reinforcement learning collaborative energy management strategy for extended-range electric buses with cabin temperature comfort consideration

Chao Huang, Jingda Wu, Yangmin Li, 2023, Energy.

Recurrent Neural Network-based Predictive Energy Management for Hybrid Energy Storage System of Electric Vehicles

Zhiyu Huang, Jingda Wu, Chen Lv, 2022, 2022 IEEE Vehicle Power and Propulsion Conference (VPPC).

Deep Reinforcement Learning-Based Energy-Efficient Decision-Making for Autonomous Electric Vehicle in Dynamic Traffic Environments

Ziyou Song, Jingda Wu, Chen Lv, 2024, IEEE Transactions on Transportation Electrification.

Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation

Zhiyu Huang, Haohan Yang, Jingda Wu, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Data-driven bi-level predictive energy management strategy for fuel cell buses with algorithmics fusion

Hongwen He, Mei Yan, Menglin Li, 2023, Energy Conversion and Management: X.