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A Survey of Deep RL and IL for Autonomous Driving Policy Learning

A Survey of Deep RL and IL for Autonomous Driving Policy Learning

6 January 2021
Zeyu Zhu
Huijing Zhao
ArXivPDFHTML

Papers citing "A Survey of Deep RL and IL for Autonomous Driving Policy Learning"

11 / 11 papers shown
Title
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
Chengkai Xu
Jiaqi Liu
Shiyu Fang
Jian-jun Sun
Dong Chen
Peng Hang
Jian Sun
76
0
0
21 Feb 2025
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and
  Efficient Autonomous Driving
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
Zilin Huang
Zihao Sheng
Chengyuan Ma
Sikai Chen
13
27
0
06 Jan 2024
Integration of Reinforcement Learning Based Behavior Planning With
  Sampling Based Motion Planning for Automated Driving
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving
Marvin Klimke
Benjamin Völz
M. Buchholz
8
5
0
17 Apr 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 Perspectives
Siyu Teng
Xuemin Hu
Peng Deng
Bai Li
Yuchen Li
...
Yunfeng Ai
Lingxi Li
Zhe Xuanyuan
F. Zhu
Long Chen
11
334
0
17 Mar 2023
An Enhanced Graph Representation for Machine Learning Based Automatic
  Intersection Management
An Enhanced Graph Representation for Machine Learning Based Automatic Intersection Management
Marvin Klimke
Jasper Gerigk
Benjamin Völz
M. Buchholz
6
9
0
18 Jul 2022
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in
  Highly Dynamic Environments
Arena-Bench: A Benchmarking Suite for Obstacle Avoidance Approaches in Highly Dynamic Environments
Linh Kästner
Teham Bhuiyan
T. Le
Elias Treis
Johanne Cox
...
Reyk Carstens
Duc Pichel
Bassel Fatloun
Niloufar Khorsandi
Jens Lambrecht
13
34
0
12 Jun 2022
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
255
337
0
14 Sep 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
137
1,599
0
02 Feb 2020
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
128
505
0
04 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
741
0
06 Jun 2015
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