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. 2011.01758
  4. Cited By
Representation Matters: Improving Perception and Exploration for
  Robotics
v1v2 (latest)

Representation Matters: Improving Perception and Exploration for Robotics

3 November 2020
Markus Wulfmeier
Arunkumar Byravan
Tim Hertweck
I. Higgins
Ankush Gupta
Tejas D. Kulkarni
Malcolm Reynolds
Denis Teplyashin
Agrim Gupta
Thomas Lampe
Martin Riedmiller
ArXiv (abs)PDFHTML

Papers citing "Representation Matters: Improving Perception and Exploration for Robotics"

9 / 9 papers shown
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy
  Learning in Robotic Manipulation
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic ManipulationIEEE Robotics and Automation Letters (RA-L), 2023
Jan Ole von Hartz
Eugenio Chisari
Tim Welschehold
Wolfram Burgard
Joschka Boedecker
Abhinav Valada
SSL
302
15
0
08 May 2023
Solving Continuous Control via Q-learning
Solving Continuous Control via Q-learningInternational Conference on Learning Representations (ICLR), 2022
Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
Daniela Rus
Markus Wulfmeier
OffRLLRM
331
31
0
22 Oct 2022
Self-Supervised Learning of Multi-Object Keypoints for Robotic
  Manipulation
Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation
Jan Ole von Hartz
Eugenio Chisari
Tim Welschehold
Abhinav Valada
SSL
336
5
0
17 May 2022
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General IntelligenceFrontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2022
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
275
54
0
17 Mar 2022
The Challenges of Exploration for Offline Reinforcement Learning
The Challenges of Exploration for Offline Reinforcement Learning
Nathan Lambert
Markus Wulfmeier
William F. Whitney
Arunkumar Byravan
Michael Bloesch
Vibhavari Dasagi
Tim Hertweck
Martin Riedmiller
OffRL
235
33
0
27 Jan 2022
Is Curiosity All You Need? On the Utility of Emergent Behaviours from
  Curious Exploration
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration
Oliver Groth
Markus Wulfmeier
Giulia Vezzani
Vibhavari Dasagi
Tim Hertweck
Agrim Gupta
N. Heess
Martin Riedmiller
LRM
258
21
0
17 Sep 2021
Playful Interactions for Representation Learning
Playful Interactions for Representation LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Sarah Young
Jyothish Pari
Pieter Abbeel
Lerrel Pinto
SSL
209
15
0
19 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of
  Reinforcement Learning Agents
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
Andrea Dittadi
Frederik Trauble
M. Wuthrich
Felix Widmaier
Peter V. Gehler
Ole Winther
Francesco Locatello
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OOD
324
19
0
12 Jul 2021
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for
  Robot Manipulation
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot ManipulationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Yizhe Wu
Oiwi Parker Jones
Martin Engelcke
Ingmar Posner
3DPC
227
22
0
31 May 2021
1
Page 1 of 1