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Learning When to Drive in Intersections by Combining Reinforcement
  Learning and Model Predictive Control

Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control

International Conference on Intelligent Transportation Systems (ITSC), 2019
1 August 2019
Tommy Tram
Ivo Batkovic
Mohammad Ali
J. Sjöberg
ArXiv (abs)PDFHTML

Papers citing "Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control"

13 / 13 papers shown
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
Zhuoren Li
Guizhe Jin
Ran Yu
Zhiwen Chen
Nan I. Li
...
Lu Xiong
Bo Leng
Jia Hu
Ilya Kolmanovsky
Dimitar Filev
258
3
0
31 Mar 2025
Bilevel Multi-Armed Bandit-Based Hierarchical Reinforcement Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
Bilevel Multi-Armed Bandit-Based Hierarchical Reinforcement Learning for Interaction-Aware Self-Driving at Unsignalized IntersectionsIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2025
Zengqi Peng
Yubin Wang
Lei Zheng
Jun Ma
423
7
0
06 Feb 2025
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Rudolf Reiter
Jasper Hoffmann
D. Reinhardt
Florian Messerer
Katrin Baumgärtner
Shamburaj Sawant
Joschka Boedecker
Moritz Diehl
S. Gros
363
20
0
04 Feb 2025
Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for
  Self-Driving at Unsignalized Intersections
Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections
Zeng Peng
Xiao Zhou
Yubin Wang
Lei Zheng
Ming-Yuan Liu
Jun Ma
157
7
0
31 Aug 2023
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving
  at Unsignalized Intersections
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized IntersectionsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Shivesh Khaitan
John M. Dolan
SSL
283
24
0
10 Jul 2022
Human-like Driving Decision at Unsignalized Intersections Based on Game
  Theory
Human-like Driving Decision at Unsignalized Intersections Based on Game Theory
Daofei Li
Guanming Liu
Bin Xiao
164
24
0
13 Dec 2021
High-level Decisions from a Safe Maneuver Catalog with Reinforcement
  Learning for Safe and Cooperative Automated Merging
High-level Decisions from a Safe Maneuver Catalog with Reinforcement Learning for Safe and Cooperative Automated MergingInternational Conference on Intelligent Transportation Systems (ITSC), 2021
Danial Kamran
Yu Ren
Martin Lauer
144
10
0
15 Jul 2021
Learning Interaction-aware Guidance Policies for Motion Planning in
  Dense Traffic Scenarios
Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios
B. Brito
Achint Agarwal
Javier Alonso-Mora
219
20
0
09 Jul 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu
Huijing Zhao
333
203
0
06 Jan 2021
A Geometric Approach to On-road Motion Planning for Long and Multi-Body
  Heavy-Duty Vehicles
A Geometric Approach to On-road Motion Planning for Long and Multi-Body Heavy-Duty Vehicles
Rui Oliveira
Oskar Ljungqvist
P. Lima
Jonas Mårtensson
B. Wahlberg
116
13
0
14 Oct 2020
Reinforcement Learning based Control of Imitative Policies for
  Near-Accident Driving
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Zhangjie Cao
Erdem Biyik
Woodrow Z. Wang
Allan Raventos
Adrien Gaidon
Guy Rosman
Dorsa Sadigh
279
72
0
01 Jul 2020
Reinforcement Learning with Uncertainty Estimation for Tactical
  Decision-Making in Intersections
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections
C. Hoel
Tommy Tram
J. Sjöberg
163
32
0
17 Jun 2020
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior
Kyle Brown
Kyle Brown
Juanran Wang
Katherine Driggs-Campbell
Mykel J. Kochenderfer
277
21
0
15 Jun 2020
1
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