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An End-to-end Deep Reinforcement Learning Approach for the Long-term
  Short-term Planning on the Frenet Space

An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space

26 November 2020
Majid Moghadam
Ali Alizadeh
Engin Tekin
G. Elkaim
ArXiv (abs)PDFHTML

Papers citing "An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space"

5 / 5 papers shown
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Ahmed Abouelazm
Tim Weinstein
Tim Joseph
Philip Schorner
J. M. Zöllner
448
1
0
13 May 2025
A Safe Self-evolution Algorithm for Autonomous Driving Based on
  Data-Driven Risk Quantification Model
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification ModelAccident Analysis and Prevention (Accid Anal Prev), 2024
Shuo Yang
Shizhen Li
Yanjun Huang
Hong Chen
353
10
0
23 Aug 2024
A Safe and Efficient Self-evolving Algorithm for Decision-making and
  Control of Autonomous Driving Systems
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems
Shuo Yang
Liwen Wang
Yanjun Huang
Hong Chen
227
2
0
22 Aug 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
508
35
0
12 Apr 2024
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial
  Traffic Flow
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
Dongkun Zhang
Jintao Xue
Yuxiang Cui
Yunkai Wang
Eryun Liu
Wei Jing
Junbo Chen
R. Xiong
Yue Wang
329
1
0
25 Apr 2023
1
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