ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.00434
  4. Cited By
Integrating Deep Reinforcement Learning with Model-based Path Planners
  for Automated Driving
v1v2 (latest)

Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving

2 February 2020
Ekim Yurtsever
L. Capito
Keith A. Redmill
Ü. Özgüner
ArXiv (abs)PDFHTML

Papers citing "Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving"

6 / 6 papers shown
Bootstrapping Reinforcement Learning with Sub-optimal Policies for Autonomous Driving
Bootstrapping Reinforcement Learning with Sub-optimal Policies for Autonomous Driving
Zhihao Zhang
Chengyang Peng
Ekim Yurtsever
Keith A. Redmill
112
1
0
04 Sep 2025
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning
Zhihao Zhang
Ekim Yurtsever
Keith A. Redmill
181
3
0
28 Jan 2025
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous
  Driving via Semantic Masked World Model
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model
Zeyu Gao
Yao Mu
Chen Chen
Yangang Ren
Shengbo Eben Li
Ping Luo
Yanfeng Lu
295
58
0
08 Oct 2022
Hierarchical Program-Triggered Reinforcement Learning Agents For
  Automated Driving
Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving
Briti Gangopadhyay
Harshit Soora
P. Dasgupta
148
46
0
25 Mar 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving
  via Virtual Safety Cages
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety CagesItalian National Conference on Sensors (INS), 2021
Sampo Kuutti
Richard Bowden
Saber Fallah
229
14
0
17 Mar 2021
A Modeled Approach for Online Adversarial Test of Operational Vehicle
  Safety (extended version)
A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety (extended version)American Control Conference (ACC), 2020
L. Capito
Bowen Weng
Ü. Özgüner
Keith A. Redmill
318
12
0
25 Sep 2020
1
Page 1 of 1