ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.14671
  4. Cited By
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving
  Cars with Selective Multi-Class Safe Dataset Aggregation

Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation

29 July 2020
Yunus Bicer
Ali Alizadeh
N. K. Üre
Ahmetcan Erdogan
Orkun Kizilirmak
ArXivPDFHTML

Papers citing "Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation"

2 / 2 papers shown
Title
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and
  Multi-agent
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent
Oskar Natan
J. Miura
28
35
0
12 Apr 2022
Automated Lane Change Decision Making using Deep Reinforcement Learning
  in Dynamic and Uncertain Highway Environment
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment
Ali Alizadeh
Majid Moghadam
Yunus Bicer
N. K. Üre
M. U. Yavas
C. Kurtulus
13
97
0
18 Sep 2019
1