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Deep Reinforcement Learning for Autonomous Driving

Deep Reinforcement Learning for Autonomous Driving

28 November 2018
Sen Wang
Daoyuan Jia
Xinshuo Weng
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning for Autonomous Driving"

12 / 12 papers shown
Title
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
T. Lee
Donghwan Lee
35
0
0
28 Feb 2025
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary
  Trajectories
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories
Qianlan Yang
Yu-Xiong Wang
OnRL
42
1
0
06 Jun 2024
Adaptive Feature Fusion: Enhancing Generalization in Deep Learning
  Models
Adaptive Feature Fusion: Enhancing Generalization in Deep Learning Models
Neelesh Mungoli
28
23
0
04 Apr 2023
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU
  Spatial Multiplexing
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing
Yuke Wang
Boyuan Feng
Zihan Wang
Tong Geng
Ang Li
Yufei Ding
AI4CE
49
0
0
16 Jun 2022
ARLO: A Framework for Automated Reinforcement Learning
ARLO: A Framework for Automated Reinforcement Learning
Marco Mussi
Davide Lombarda
Alberto Maria Metelli
F. Trovò
Marcello Restelli
OffRL
41
4
0
20 May 2022
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual
  Patterns
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns
Prasanth Buddareddygari
Travis Zhang
Yezhou Yang
Yi Ren
AAML
37
13
0
16 Sep 2021
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring
  Statewise Safety
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety
Haitong Ma
Yang Guan
Shegnbo Eben Li
Xiangteng Zhang
Sifa Zheng
Jianyu Chen
40
37
0
22 May 2021
Objective-aware Traffic Simulation via Inverse Reinforcement Learning
Objective-aware Traffic Simulation via Inverse Reinforcement Learning
Guanjie Zheng
Hanyang Liu
Kai Xu
Z. Li
29
11
0
20 May 2021
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with
  Multi-Feature Learning
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
Xinshuo Weng
Yongxin Wang
Yunze Man
Kris Kitani
3DPC
VOT
45
215
0
12 Jun 2020
Safe Reinforcement Learning for Autonomous Vehicles through Parallel
  Constrained Policy Optimization
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization
Lu Wen
Jingliang Duan
Shengbo Eben Li
Shaobing Xu
H. Peng
24
68
0
03 Mar 2020
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
Xinshuo Weng
Jianren Wang
David Held
Kris Kitani
VOT
3DPC
26
122
0
09 Jul 2019
1