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Elements of Effective Deep Reinforcement Learning towards Tactical
  Driving Decision Making

Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making

1 February 2018
Jingchu Liu
Pengfei Hou
Lisen Mu
Yinan Yu
Chang Huang
ArXiv (abs)PDFHTML

Papers citing "Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making"

8 / 8 papers shown
Learning hierarchical behavior and motion planning for autonomous
  driving
Learning hierarchical behavior and motion planning for autonomous driving
Jingke Wang
Yue Wang
Dongkun Zhang
Yezhou Yang
R. Xiong
140
40
0
08 May 2020
Driver Modeling through Deep Reinforcement Learning and Behavioral Game
  Theory
Driver Modeling through Deep Reinforcement Learning and Behavioral Game TheoryIEEE Transactions on Control Systems Technology (TCST), 2020
Mert Albaba
Y. Yildiz
OffRL
196
58
0
24 Mar 2020
Social Attention for Autonomous Decision-Making in Dense Traffic
Social Attention for Autonomous Decision-Making in Dense Traffic
Edouard Leurent
Jean Pierre Mercat
230
95
0
27 Nov 2019
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road
  Vehicles
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road VehiclesIET Intelligent Transport Systems (IET ITS), 2019
Konstantinos Makantasis
Maria Kontorinaki
I. Nikolos
117
36
0
10 Jul 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way ForwardIEEE Communications Surveys and Tutorials (COMST), 2019
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
200
209
0
29 May 2019
A Deep Reinforcement Learning Driving Policy for Autonomous Road
  Vehicles
A Deep Reinforcement Learning Driving Policy for Autonomous Road Vehicles
Konstantinos Makantasis
Maria Kontorinaki
I. Nikolos
84
14
0
22 May 2019
Microscopic Traffic Simulation by Cooperative Multi-agent Deep
  Reinforcement Learning
Microscopic Traffic Simulation by Cooperative Multi-agent Deep Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2019
Giulio Bacchiani
Daniele Molinari
Marco Patander
129
22
0
04 Mar 2019
Encoding Motion Primitives for Autonomous Vehicles using Virtual
  Velocity Constraints and Neural Network Scheduling
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network SchedulingInternational Conference on Machine Learning and Applications (ICMLA), 2018
M. Plessen
107
1
0
05 Jul 2018
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