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. 1704.05588
  4. Cited By
Learning to Fly by Crashing

Learning to Fly by Crashing

19 April 2017
Dhiraj Gandhi
Lerrel Pinto
Abhinav Gupta
    SSL
ArXivPDFHTML

Papers citing "Learning to Fly by Crashing"

14 / 64 papers shown
Title
Learning Long-Range Perception Using Self-Supervision from Short-Range
  Sensors and Odometry
Learning Long-Range Perception Using Self-Supervision from Short-Range Sensors and Odometry
Mirko Nava
Jérôme Guzzi
R. O. Chavez-Garcia
L. Gambardella
Alessandro Giusti
SSL
18
28
0
19 Sep 2018
Learning Vision-based Cohesive Flight in Drone Swarms
Learning Vision-based Cohesive Flight in Drone Swarms
Fabian Schilling
Julien Lecoeur
Fabrizio Schiano
Dario Floreano
27
25
0
03 Sep 2018
NAVREN-RL: Learning to fly in real environment via end-to-end deep
  reinforcement learning using monocular images
NAVREN-RL: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images
Malik Aqeel Anwar
A. Raychowdhury
21
22
0
22 Jul 2018
Learning to Drive in a Day
Learning to Drive in a Day
Alex Kendall
Jeffrey Hawke
David Janz
Przemyslaw Mazur
Daniele Reda
John M. Allen
Vinh-Dieu Lam
Alex Bewley
Amar Shah
42
643
0
01 Jul 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals
Sequential Attacks on Agents for Long-Term Adversarial Goals
E. Tretschk
Seong Joon Oh
Mario Fritz
OnRL
329
47
1
31 May 2018
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
Daniele Palossi
Antonio Loquercio
Francesco Conti
Eric Flamand
Davide Scaramuzza
Luca Benini
173
158
0
04 May 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey
  and Future Directions
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions
Stylianos I. Venieris
Alexandros Kouris
C. Bouganis
19
184
0
15 Mar 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment
Building Generalizable Agents with a Realistic and Rich 3D Environment
Yi Wu
Yuxin Wu
Georgia Gkioxari
Yuandong Tian
3DV
62
338
0
07 Jan 2018
Sim2Real View Invariant Visual Servoing by Recurrent Control
Sim2Real View Invariant Visual Servoing by Recurrent Control
Fereshteh Sadeghi
Alexander Toshev
Eric Jang
Sergey Levine
19
98
0
20 Dec 2017
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement
  Learning
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
Benjamin Eysenbach
S. Gu
Julian Ibarz
Sergey Levine
CLL
37
139
0
18 Nov 2017
Self-Supervised Visual Planning with Temporal Skip Connections
Self-Supervised Visual Planning with Temporal Skip Connections
F. Ebert
Chelsea Finn
Alex X. Lee
Sergey Levine
SSL
40
317
0
15 Oct 2017
To Go or Not To Go? A Near Unsupervised Learning Approach For Robot
  Navigation
To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation
Noriaki Hirose
Amir Sadeghian
P. Goebel
Silvio Savarese
GAN
24
20
0
16 Sep 2017
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
246
812
0
13 Nov 2016
Persistent self-supervised learning principle: from stereo to monocular
  vision for obstacle avoidance
Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance
K. G. Hecke
Guido de Croon
Laurens van der Maaten
Daniel Hennes
Dario Izzo
SSL
25
14
0
25 Mar 2016
Previous
12