End-to-end principle

End-to-end training of deep visuomotor policies

Sergey Levine, Chelsea Finn, Trevor Darrell, Pieter Abbeel

Citations: 1715 • 2016

End-to-End Training of Deep Visuomotor Policies

Sergey Levine, Chelsea Finn, Trevor Darrell, Pieter Abbeel

Citations: 1399 • 2015

End-to-end driving via conditional imitation learning

Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy

Citations: 1065

Off-Road Obstacle Avoidance through End-to-End Learning

Urs Müller, Jan Ben, Eric Cosatto, Beat Flepp, Y. Le Cun

Citations: 446 • 2005

From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots

Mark G. Pfeiffer, Michael Schaeuble, Juan Nieto, Roland Siegwart, César Cadena

Citations: 426 • 2017

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection

Thanh-Toan Do, Anh‐Tu Nguyen, Ian Reid

Citations: 290 • 2018

End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks

Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni

Citations: 244 • 2017

Learning Navigation Behaviors End-to-End With AutoRL

Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fišer, Anthony Francis

Citations: 230 • 2019

End-To-End Robotic Reinforcement Learning without Reward Engineering

Avi Singh, Larry Yang, Chelsea Finn, Sergey Levine

Citations: 208 • 2019

End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning

Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang

Citations: 144 • 2019

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

Stephen James, Andrew J. Davison, Edward Johns

Citations: 132 • 2017

Driving Policy Transfer via Modularity and Abstraction

Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun

Citations: 122 • 2018

Driving Policy Transfer via Modularity and Abstraction.

Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun

Citations: 109 • 2018

Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network

Shuang Li, Xiaojian Ma, Hongzhuo Liang, Michael Görner, Philipp Ruppel, Bin Fang, Fuchun Sun, Jianwei Zhang

Citations: 104 • 2019

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes

Citations: 97 • 2022

PlasmidMaker is a versatile, automated, and high throughput end-to-end platform for plasmid construction

Behnam Enghiad, Pu Xue, Nilmani Singh, Aashutosh Girish Boob, Chengyou Shi, Vassily Andrew Petrov, Roy Liu, Siddhartha Peri, Stephan Lane, Emily Danielle Gaither, Huimin Zhao

Citations: 89 • 2022

Autonomous off‐road navigation with end‐to‐end learning for the LAGR program

Max Bajracharya, Andrew Howard, Larry Matthies, Benyang Tang, M. Turmon

Citations: 84 • 2008

REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds

Binglei Zhao, Hanbo Zhang, Xuguang Lan, Haoyu Wang, Zhiqiang Tian, Nanning Zheng

Citations: 82 • 2021

3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud

Zheng Fang, Sifan Zhou, Yubo Cui, Sebastian Scherer

Citations: 82 • 2020

PiCAS: New Design of Priority-Driven Chain-Aware Scheduling for ROS2

Hyunjong Choi, Yecheng Xiang, Hyoseung Kim

Citations: 80 • 2021