ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.02667
  4. Cited By
Automated Lane Change Strategy using Proximal Policy Optimization-based
  Deep Reinforcement Learning
v1v2 (latest)

Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning

7 February 2020
Fei Ye
Xuxin Cheng
Pin Wang
Ching-yao Chan
Jiucai Zhang
ArXiv (abs)PDFHTML

Papers citing "Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning"

35 / 35 papers shown
MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
Jia Hu
Zhexi Lian
Xuerun Yan
Ruiang Bi
Dou Shen
Yu Ruan
Haoran Wang
115
1
0
03 Dec 2025
LVLM-MPC Collaboration for Autonomous Driving: A Safety-Aware and Task-Scalable Control Architecture
LVLM-MPC Collaboration for Autonomous Driving: A Safety-Aware and Task-Scalable Control Architecture
Kazuki Atsuta
Kohei Honda
H. Okuda
Tatsuya Suzuki
1.0K
2
0
08 May 2025
Design of Reward Function on Reinforcement Learning for Automated Driving
Design of Reward Function on Reinforcement Learning for Automated DrivingIFAC-PapersOnLine (IFAC-PapersOnLine), 2025
Takeru Goto
Yuki Kizumi
Shun Iwasaki
196
10
0
20 Mar 2025
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human
  Feedback and Physics Knowledge for Safe Autonomous Driving
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
Zilin Huang
Zihao Sheng
Sikai Chen
470
13
0
01 Sep 2024
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous
  Driving with Analytic Safety Guarantees
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees
Tianyu Shi
Ilia Smirnov
Omar ElSamadisy
Baher Abdulhai
259
5
0
23 Jul 2024
Enhanced Safety in Autonomous Driving: Integrating Latent State
  Diffusion Model for End-to-End Navigation
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation
Detian Chu
Linyuan Bai
Jianuo Huang
Zhenlong Fang
Peng Zhang
Wei Kang
Haifeng Lin
443
5
0
08 Jul 2024
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement
  Learning-Based Planning Framework
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework
Xibo Li
Shruti Patel
Christof Büskens
232
2
0
01 Jul 2024
Algorithmic collusion in a two-sided market: A rideshare example
Algorithmic collusion in a two-sided market: A rideshare example
Pravesh Koirala
Forrest Laine
186
4
0
05 May 2024
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
Ahmed Abouelazm
Jonas Michel
J. M. Zöllner
494
34
0
12 Apr 2024
Long and Short-Term Constraints Driven Safe Reinforcement Learning for
  Autonomous Driving
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
Xuemin Hu
Pan Chen
Yijun Wen
Bo Tang
Long Chen
268
4
0
27 Mar 2024
Autonomous vehicle decision and control through reinforcement learning
  with traffic flow randomization
Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
Yuan Lin
Antai Xie
Xiao Liu
316
5
0
05 Mar 2024
Informed Reinforcement Learning for Situation-Aware Traffic Rule
  Exceptions
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions
Daniel Bogdoll
Jing Qin
Moritz Nekolla
Ahmed Abouelazm
Tim Joseph
J. Marius Zöllner
356
5
0
06 Feb 2024
Risk-anticipatory autonomous driving strategies considering vehicles'
  weights, based on hierarchical deep reinforcement learning
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning
Di Chen
Hao Li
Zhicheng Jin
H. Tu
Meixin Zhu
272
10
0
27 Dec 2023
Scalable Decentralized Cooperative Platoon using Multi-Agent Deep
  Reinforcement Learning
Scalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning
Ahmed Abdelrahman
Omar M. Shehata
Yarah Basyoni
E. I. Morgan
156
2
0
11 Dec 2023
Graph-based Prediction and Planning Policy Network (GP3Net) for scalable
  self-driving in dynamic environments using Deep Reinforcement Learning
Graph-based Prediction and Planning Policy Network (GP3Net) for scalable self-driving in dynamic environments using Deep Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Jayabrata Chowdhury
Venkataramanan Shivaraman
Suresh Sundaram
P B Sujit
175
10
0
10 Dec 2023
Development and Assessment of Autonomous Vehicles in Both Fully
  Automated and Mixed Traffic Conditions
Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions
Ahmed Abdelrahman
153
3
0
08 Dec 2023
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep
  Reinforcement Learning
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning
Kunpeng Xu
Lifei Chen
Shengrui Wang
142
2
0
02 Nov 2023
Integrating Expert Guidance for Efficient Learning of Safe Overtaking in
  Autonomous Driving Using Deep Reinforcement Learning
Integrating Expert Guidance for Efficient Learning of Safe Overtaking in Autonomous Driving Using Deep Reinforcement Learning
Jinxiong Lu
G. Alcan
Ville Kyrki
99
2
0
18 Aug 2023
Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL)
  for comfortable and safe autonomous driving
Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving
Jayabrata Chowdhury
Vishruth Veerendranath
Suresh Sundaram
N. Sundararajan
143
0
0
15 Jun 2023
Risk-Aware Reward Shaping of Reinforcement Learning Agents for
  Autonomous Driving
Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous DrivingAnnual Conference of the IEEE Industrial Electronics Society (IECON), 2023
Linjin Wu
Zengjie Zhang
S. Haesaert
Zhiqiang Ma
Zhiyong Sun
OffRL
218
10
0
05 Jun 2023
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory
  Prediction
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction
Yujun Jiao
Mingze Miao
Zhishuai Yin
Chunyuan Lei
Xu Zhu
Linzhen Nie
Bo Tao
386
15
0
22 Mar 2023
Motion Planning for Autonomous Driving: The State of the Art and Future
  Perspectives
Motion Planning for Autonomous Driving: The State of the Art and Future PerspectivesIEEE Transactions on Intelligent Vehicles (TIV), 2023
Siyu Teng
Xuemin Hu
Peng Deng
Bai Li
Yuchen Li
...
Yunfeng Ai
Lingxi Li
Zhe Xuanyuan
F. Zhu
Long Chen
492
515
0
17 Mar 2023
Interactive Trajectory Planner for Mandatory Lane Changing in Dense
  Non-Cooperative Traffic
Interactive Trajectory Planner for Mandatory Lane Changing in Dense Non-Cooperative Traffic
Xiangguo Liu
Jianxing Chen
Shanmin Li
Yajia Zhang
Hongtao Yu
F. Huang
Jiechao Liu
Chao Wang
Liyun Li
Qi Zhu
188
2
0
04 Mar 2023
Autonomous Slalom Maneuver Based on Expert Drivers' Behavior Using
  Convolutional Neural Network
Autonomous Slalom Maneuver Based on Expert Drivers' Behavior Using Convolutional Neural NetworkInternational Conference on Robotics and Mechatronics (ICRoM), 2022
Shafagh A. Pashaki
A. Nahvi
Ahmad Ahmadi
Sajad Tavakoli
Shahin Naeemi
Salar H. Shamchi
133
2
0
18 Jan 2023
Imbalanced Classification In Faulty Turbine Data: New Proximal Policy
  Optimization
Imbalanced Classification In Faulty Turbine Data: New Proximal Policy Optimization
Mohammad Hossein Modirrousta
M. A. Shoorehdeli
M. Yari
Arash Ghahremani
AI4CE
179
1
0
10 Jan 2023
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for
  Efficient and Safe Driving Strategies
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies
Lukas M. Schmidt
Sebastian Rietsch
Axel Plinge
Bjoern M. Eskofier
Christopher Mutschler
OffRL
307
5
0
16 Mar 2022
Safety-driven Interactive Planning for Neural Network-based Lane
  Changing
Safety-driven Interactive Planning for Neural Network-based Lane ChangingAsia and South Pacific Design Automation Conference (ASP-DAC), 2022
Xiangguo Liu
Ruochen Jiao
Bowen Zheng
Davis Liang
Qi Zhu
374
15
0
22 Jan 2022
A Self-adaptive LSAC-PID Approach based on Lyapunov Reward Shaping for
  Mobile Robots
A Self-adaptive LSAC-PID Approach based on Lyapunov Reward Shaping for Mobile Robots
Xinyi Yu
Siyu Xu
Yuehai Fan
L. Ou
97
4
0
03 Nov 2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning
  and Control of Autonomous Vehicles
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
Fei Ye
Shen Zhang
Pin Wang
Ching-yao Chan
354
67
0
29 May 2021
A Self-adaptive SAC-PID Control Approach based on Reinforcement Learning
  for Mobile Robots
A Self-adaptive SAC-PID Control Approach based on Reinforcement Learning for Mobile RobotsInternational Journal of Robust and Nonlinear Control (IJRNC), 2021
Xinyi Yu
Yu Fan
Siyu Xu
L. Ou
133
46
0
19 Mar 2021
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for
  Autonomous Vehicles Using Deep Reinforcement Learning
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Lokesh Chandra Das
M. Won
153
17
0
06 Mar 2021
Deep Reinforcement Learning and Transportation Research: A Comprehensive
  Review
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi
T. Ahamed
Limon Barua
Bo Zou
AI4TS
203
20
0
13 Oct 2020
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous
  Vehicles
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles
Fei Ye
Pin Wang
Ching-yao Chan
Jiucai Zhang
139
25
0
28 Aug 2020
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement
  Learning with Continuous Action Horizon
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon
Teng Liu
Hong Wang
Jun Li
332
8
0
26 Aug 2020
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway
  Decision-making for Automated Vehicles
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles
Teng Liu
Yuyou Yang
Wenxuan Xiao
Xiaolin Tang
Mingzhu Yin
308
8
0
04 Aug 2020
1
Page 1 of 1