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README.md

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 # Intelligent Vehicles Lab
-Our main research focuses are reinforcement learning, energy management for hybrid vehicles, and behavioral decision-making for automated vehicles. At present, we have one PI, two PhDs and eight masters in our laboratory.  
+Our main research focuses are energy management, autonomous driving and reinforcement learning. At present, we have one PI, two PhDs and eight masters in our laboratory.  
 
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 # People
 ### Principal Investigator:
 <img align="left" src="assets/YuanLin.jpg" width="225" height=""/>
- <big>**Yuan Lin(林远)**</big>:<br />Yuan Lin (Member, IEEE) received the B.E. degree in civil engineering from Nanchang University, Nanchang, China, in 2011 and the Ph.D. degree in engineering mechanics from Virginia Tech, Blacksburg, VA, USA, in 2016. He was a Postdoctoral Fellow with Mechanical Engineering Department, Virginia Tech, from 2016 to 2018, and was with the Systems Design Engineering Department, University of Waterloo, Waterloo, ON, Canada, from 2018 to 2020. He is currently an Assistant Professor with the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China. 
+ <big>**Yuan Lin(林远)**</big>:<br />Yuan:
+Yuan Lin received the B.E. degree in civil engineering from Nanchang University, Nanchang, China, in 2011 and the Ph.D. degree in engineering mechanics from Virginia Tech, Blacksburg, VA, USA, in 2016. He was a Postdoctoral Fellow with the Mechanical Engineering Department, Virginia Tech, from 2016 to 2018, and with the Systems Design Engineering Department, University of Waterloo, Waterloo, ON, Canada, from 2018 to 2020. He is currently an Assistant Professor with the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China.
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 ## Master Students:
+<img align="left" src="assets/Xiao Liu.jpg" width="150" height=""/> 
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+**Xiao Liu(刘啸)**: September 2021 - Present<br/>
+**Research Interests**: Reinforcement Learning, Intelligent Lane Change, Optimal Control.
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 <img align="left" src="assets/Qitao Li.jpg" width="150" height=""/> 
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-<img align="left" src="assets/Jianan Ji.jpg" width="150" height=""/> 
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-**Jianan Ji(纪家楠)**: September 2024 - Present<br/>
-**Research Interests**: Planning and Control of Autonomous Vehicle.
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-## Undergraduate Students:
-<img align="left" src="assets/Yihan Wang.jpg" width="150" height=""/> 
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-**Yihan Wang(王艺涵)**: September 2024 - Present<br/>
-**Research Interests**: Construction of Autonomous Driving Platform.
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-# Publications
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+# Selected Publications
 * [Zheng Z, Liu X, Lin Y. Highway Discretionary Lane-change Decision and Control Using Model Predictive Control[J]. Asian Control Conference, Accepted.](https://arxiv.org/abs/2402.17524)
 * [Wang L, Zheng Z, Lin Y. Steady-State Error Compensation for Reinforcement Learning with Quadratic Rewards[J]. Asian Control Conference, Accepted.](https://arxiv.org/abs/2402.09075)
-* [Lin Y, Xie A, Liu X. Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization[J]. Machines, 2024, 12(4): 264.](https://www.mdpi.com/2075-1702/12/4/264)
 * [Xu R, Xu J, Liu X, et al. Safe hybrid-action reinforcement learning-based decision and control for discretionary lane change[J]. Machines, 2024, 12(4): 252.](https://www.mdpi.com/2075-1702/12/4/252)
 * [Gong C, Xu J, Lin Y. Plug‐In Hybrid Electric Vehicle Energy Management with Clutch Engagement Control via Continuous‐Discrete Reinforcement Learning[J]. Energy Technology, 2024: 2301512.](https://onlinelibrary.wiley.com/doi/full/10.1002/ente.202301512)
-* [Lin Y, Liu X, Zheng Z. Discretionary Lane-Change Decision and Control via Parameterized Soft Actor–Critic for Hybrid Action Space[J]. Machines, 2024, 12(4): 213.](https://www.mdpi.com/2075-1702/12/4/213)
 * [Xu J, Lin Y. Energy Management for Hybrid Electric Vehicles Using Safe Hybrid-Action Reinforcement Learning[J]. Mathematics, 2024, 12(5): 663.](https://www.mdpi.com/2227-7390/12/5/663)
 * [Xu J, Lin Y. Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Vehicle Energy Management[J]. arXiv preprint arXiv:2305.01461, 2023.](https://arxiv.org/abs/2305.01461)
 * [Li Q, Gong C, Lin Y. Co-Optimization of Adaptive Cruise Control and Hybrid Electric Vehicle Energy Management via Model Predictive Mixed Integer Control[C]//2023 42st Chinese Control Conference (CCC). IEEE, 2023:6557-6562.](https://ieeexplore.ieee.org/document/10241172)
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 * Vehicle in the loop.
 
 
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-## Autonomous Robot
-&emsp;<img src="assets/autonomous robot.jpg" width="250" height=""/>
-* ROS Robot.
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