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Learning to Drive from Simulation without Real World Labels

Learning to Drive from Simulation without Real World Labels

10 December 2018
Alex Bewley
J. Rigley
Yuxuan Liu
Jeffrey Hawke
Richard Shen
Vinh-Dieu Lam
Alex Kendall
    OffRL
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Papers citing "Learning to Drive from Simulation without Real World Labels"

13 / 13 papers shown
Title
Autonomous Driving at Unsignalized Intersections: A Review of
  Decision-Making Challenges and Reinforcement Learning-Based Solutions
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
Mohammad K. Al-Sharman
Luc Edes
Bert Sun
Vishal Jayakumar
Mohamed A. Daoud
Derek Rayside
W. Melek
26
1
0
20 Sep 2024
Guiding Attention in End-to-End Driving Models
Guiding Attention in End-to-End Driving Models
Diego Porres
Yi Xiao
Gabriel Villalonga
Alexandre Levy
Antonio M. López
26
0
0
30 Apr 2024
Controlling Steering with Energy-Based Models
Controlling Steering with Energy-Based Models
Mykyta Baliesnyi
Ardi Tampuu
Tambet Matiisen
LLMSV
25
2
0
28 Jan 2023
FedRAD: Federated Robust Adaptive Distillation
FedRAD: Federated Robust Adaptive Distillation
Stefán Páll Sturluson
Samuel Trew
Luis Muñoz-González
Matei Grama
Jonathan Passerat-Palmbach
Daniel Rueckert
A. Alansary
FedML
16
17
0
02 Dec 2021
Learning Interactive Driving Policies via Data-driven Simulation
Learning Interactive Driving Policies via Data-driven Simulation
Tsun-Hsuan Wang
Alexander Amini
Wilko Schwarting
Igor Gilitschenski
S. Karaman
Daniela Rus
19
20
0
23 Nov 2021
NuPlan: A closed-loop ML-based planning benchmark for autonomous
  vehicles
NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
Holger Caesar
Juraj Kabzan
Kok Seang Tan
Whye Kit Fong
Eric M. Wolff
A. Lang
L. Fletcher
Oscar Beijbom
Sammy Omari
24
272
0
22 Jun 2021
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement
  Learning
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning
Alessandro Paolo Capasso
Paolo Maramotti
Anthony DellÉva
A. Broggi
65
18
0
28 Apr 2021
Exploring Imitation Learning for Autonomous Driving with Feedback
  Synthesizer and Differentiable Rasterization
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
Jinyun Zhou
Rui Wang
Xu Liu
Yifei Jiang
Shu Jiang
J. Tao
Jinghao Miao
Shiyu Song
32
35
0
02 Mar 2021
Learning from Simulation, Racing in Reality
Learning from Simulation, Racing in Reality
Eugenio Chisari
Alexander Liniger
Alisa Rupenyan
Luc Van Gool
John Lygeros
25
24
0
26 Nov 2020
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
18
228
0
13 Mar 2020
Learning by Cheating
Learning by Cheating
Dian Chen
Brady Zhou
V. Koltun
Philipp Krahenbuhl
SSL
45
503
0
27 Dec 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy
Quang-Cuong Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV
3DPC
40
762
0
13 Aug 2019
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