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Reinforcement Learning and Deep Learning based Lateral Control for
  Autonomous Driving

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving

30 October 2018
Dong Li
Dongbin Zhao
Qichao Zhang
Yaran Chen
ArXivPDFHTML

Papers citing "Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving"

13 / 13 papers shown
Title
Learning Autonomous Race Driving with Action Mapping Reinforcement
  Learning
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning
Yuanda Wang
Xin Yuan
Changyin Sun
34
1
0
21 Jun 2024
Federated Learning for Connected and Automated Vehicles: A Survey of
  Existing Approaches and Challenges
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi
Liangqi Yuan
Christopher G. Brinton
Stanislaw H. .Zak
Ziran Wang
FedML
31
75
0
21 Aug 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement
  Learning
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning
Hongyu Ding
Yuan-Yan Tang
Qing Wu
Bo Wang
Chunlin Chen
Zhi Wang
32
4
0
16 Jul 2023
Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement
  Learning
Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement Learning
Ana Carrasco
J. Sequeira
11
2
0
09 Jan 2023
NashAE: Disentangling Representations through Adversarial Covariance
  Minimization
NashAE: Disentangling Representations through Adversarial Covariance Minimization
Eric C. Yeats
Frank Liu
David A. P. Womble
Hai Helen Li
CML
38
10
0
21 Sep 2022
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing
  -- A Reinforcement Learning Approach
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach
Edoardo Ghignone
Nicolas Baumann
Mike Boss
Michele Magno
26
13
0
19 May 2022
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and
  Feasible Agent Behaviors for Autonomous Driving
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving
Qichao Zhang
Yinfeng Gao
Yikang Zhang
Youtian Guo
Dawei Ding
Yunpeng Wang
Peng Sun
Dongbin Zhao
19
34
0
31 Mar 2022
A Reinforcement Learning Benchmark for Autonomous Driving in
  Intersection Scenarios
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
Yuqi Liu
Qichao Zhang
Dongbin Zhao
OffRL
75
13
0
22 Sep 2021
Gym-ANM: Reinforcement Learning Environments for Active Network
  Management Tasks in Electricity Distribution Systems
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems
Robin Henry
D. Ernst
14
34
0
14 Mar 2021
Scalable Multi-Agent Reinforcement Learning for Networked Systems with
  Average Reward
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
Guannan Qu
Yiheng Lin
Adam Wierman
Na Li
15
69
0
11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Yiheng Lin
Guannan Qu
Longbo Huang
Adam Wierman
21
38
0
11 Jun 2020
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
25
188
0
23 Dec 2019
Lane Change Decision-making through Deep Reinforcement Learning with
  Rule-based Constraints
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints
Junjie Wang
Qichao Zhang
Dongbin Zhao
Yaran Chen
8
117
0
30 Mar 2019
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