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. 2004.12974
  4. Cited By
Emergent Real-World Robotic Skills via Unsupervised Off-Policy
  Reinforcement Learning

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning

27 April 2020
Archit Sharma
Michael Ahn
Sergey Levine
Vikash Kumar
Karol Hausman
S. Gu
    SSLOffRL
ArXiv (abs)PDFHTML

Papers citing "Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning"

36 / 36 papers shown
IPR-1: Interactive Physical Reasoner
IPR-1: Interactive Physical Reasoner
Mingyu Zhang
Lifeng Zhuo
Tianxi Tan
Guocan Xie
Xian Nie
...
Renjie Zhao
Zizhu He
Z. Wang
Jiting Cai
Yong-Lu Li
PINNLRMAI4CE
500
0
0
19 Nov 2025
Learning Omnidirectional Locomotion for a Salamander-Like Quadruped Robot
Learning Omnidirectional Locomotion for a Salamander-Like Quadruped Robot
Zhiang Liu
Yang Liu
Yongchun Fang
X. Guo
287
1
0
11 Nov 2025
Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors
Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors
Rafael Cathomen
Mayank Mittal
Marin Vlastelica
Marco Hutter
215
2
0
27 Aug 2025
From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
Luca Grillotti
Lisa Coiffard
Oscar Pang
Maxence Faldor
Antoine Cully
279
0
0
26 Aug 2025
Situationally-Aware Dynamics Learning
Situationally-Aware Dynamics Learning
Alejandro Murillo-Gonzalez
Lantao Liu
398
0
0
26 May 2025
Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length AdjustmentInternational Conference on Learning Representations (ICLR), 2025
Jinwoo Choi
Seung-Woo Seo
OffRL
379
2
0
21 Apr 2025
Constrained Skill Discovery: Quadruped Locomotion with Unsupervised
  Reinforcement Learning
Constrained Skill Discovery: Quadruped Locomotion with Unsupervised Reinforcement Learning
Vassil Atanassov
Wanming Yu
Alexander L. Mitchell
M. N. Finean
Ioannis Havoutis
SSL
367
7
0
10 Oct 2024
Learning-based legged locomotion; state of the art and future
  perspectives
Learning-based legged locomotion; state of the art and future perspectives
Sehoon Ha
Joonho Lee
M. van de Panne
Zhaoming Xie
Wenhao Yu
Majid Khadiv
375
46
0
03 Jun 2024
Self-Supervised Curriculum Generation for Autonomous Reinforcement
  Learning without Task-Specific Knowledge
Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific KnowledgeIEEE Robotics and Automation Letters (RA-L), 2023
Sang-Hyun Lee
Seung-Woo Seo
ODLCLLSSL
413
3
0
15 Nov 2023
Continual Robot Learning using Self-Supervised Task Inference
Continual Robot Learning using Self-Supervised Task InferenceIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2023
Muhammad Burhan Hafez
Stefan Wermter
CLLSSL
206
15
0
10 Sep 2023
Demonstration-free Autonomous Reinforcement Learning via Implicit and
  Bidirectional Curriculum
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional CurriculumInternational Conference on Machine Learning (ICML), 2023
Jigang Kim
Daesol Cho
H. J. Kim
362
4
0
17 May 2023
Learning Robust, Agile, Natural Legged Locomotion Skills in the Wild
Learning Robust, Agile, Natural Legged Locomotion Skills in the Wild
Yikai Wang
Zheyuan Jiang
Jianyu Chen
270
11
0
21 Apr 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement
  Learning
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement LearningConference on Robot Learning (CoRL), 2023
Archit Sharma
Ahmed M. Ahmed
Rehaan Ahmad
Chelsea Finn
SSL
316
31
0
02 Mar 2023
Diverse Policy Optimization for Structured Action Space
Diverse Policy Optimization for Structured Action SpaceAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Wenhao Li
Baoxiang Wang
Shanchao Yang
H. Zha
OffRL
227
1
0
23 Feb 2023
Intrinsic Motivation in Dynamical Control Systems
Intrinsic Motivation in Dynamical Control Systems
Stas Tiomkin
I. Nemenman
Daniel Polani
Naftali Tishby
252
11
0
29 Dec 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Efficient Exploration using Model-Based Quality-Diversity with Gradients
Bryan Lim
Manon Flageat
Antoine Cully
249
7
0
22 Nov 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
A Mixture of Surprises for Unsupervised Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Andrew Zhao
Matthieu Lin
Yangguang Li
Wenshu Fan
Gao Huang
262
14
0
13 Oct 2022
Towards a Grounded Theory of Causation for Embodied AI
Towards a Grounded Theory of Causation for Embodied AI
Taco S. Cohen
CML
254
9
0
28 Jun 2022
Meta-Learning Parameterized Skills
Meta-Learning Parameterized SkillsInternational Conference on Machine Learning (ICML), 2022
Haotian Fu
Shangqun Yu
Saket Tiwari
Michael Littman
George Konidaris
512
8
0
07 Jun 2022
Unsupervised Reinforcement Learning for Transferable Manipulation Skill
  Discovery
Unsupervised Reinforcement Learning for Transferable Manipulation Skill DiscoveryIEEE Robotics and Automation Letters (RA-L), 2022
Daesol Cho
Jigang Kim
H. J. Kim
OffRLSSL
258
20
0
29 Apr 2022
Automating Reinforcement Learning with Example-based Resets
Automating Reinforcement Learning with Example-based ResetsIEEE Robotics and Automation Letters (RA-L), 2022
Jigang Kim
Jaehyeon Park
Daesol Cho
H. J. Kim
CLLOnRL
351
17
0
05 Apr 2022
One After Another: Learning Incremental Skills for a Changing World
One After Another: Learning Incremental Skills for a Changing WorldInternational Conference on Learning Representations (ICLR), 2022
Nur Muhammad (Mahi) Shafiullah
Lerrel Pinto
CLL
361
15
0
21 Mar 2022
Learning Torque Control for Quadrupedal Locomotion
Learning Torque Control for Quadrupedal LocomotionIEEE-RAS International Conference on Humanoid Robots (Humanoids), 2022
Shuxiao Chen
Bike Zhang
M. Mueller
Akshara Rai
Koushil Sreenath
386
62
0
10 Mar 2022
Data-Efficient Learning of High-Quality Controls for Kinodynamic
  Planning used in Vehicular Navigation
Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation
Seth Karten
Aravind Sivaramakrishnan
Edgar Granados
T. McMahon
Kostas E. Bekris
157
0
0
06 Jan 2022
Wish you were here: Hindsight Goal Selection for long-horizon dexterous
  manipulation
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Todor Davchev
Oleg O. Sushkov
Jean-Baptiste Regli
S. Schaal
Y. Aytar
Markus Wulfmeier
Jonathan Scholz
247
19
0
01 Dec 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior
  Engineering beyond Reward Maximization
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization
S. Gu
Manfred Diaz
Daniel Freeman
Hiroki Furuta
Seyed Kamyar Seyed Ghasemipour
Anton Raichuk
Byron David
Erik Frey
Erwin Coumans
Olivier Bachem
182
15
0
10 Oct 2021
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
266
21
0
17 Sep 2021
Autonomous Reinforcement Learning via Subgoal Curricula
Autonomous Reinforcement Learning via Subgoal CurriculaNeural Information Processing Systems (NeurIPS), 2021
Archit Sharma
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
300
36
0
27 Jul 2021
Adaptation of Quadruped Robot Locomotion with Meta-Learning
Adaptation of Quadruped Robot Locomotion with Meta-Learning
A. Kuzhamuratov
Dmitry Sorokin
Alexander Ulanov
A. Lvovsky
148
1
0
08 Jul 2021
Unsupervised Skill Discovery with Bottleneck Option Learning
Unsupervised Skill Discovery with Bottleneck Option LearningInternational Conference on Machine Learning (ICML), 2021
Jaekyeom Kim
Seohong Park
Gunhee Kim
319
39
0
27 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based
  Reinforcement Learning
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning
Jongwook Choi
Archit Sharma
Honglak Lee
Sergey Levine
S. Gu
DRL
297
23
0
02 Jun 2021
Policy Information Capacity: Information-Theoretic Measure for Task
  Complexity in Deep Reinforcement Learning
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Hiroki Furuta
T. Matsushima
Tadashi Kozuno
Y. Matsuo
Sergey Levine
Ofir Nachum
S. Gu
OffRL
192
17
0
23 Mar 2021
Analyzing the Hidden Activations of Deep Policy Networks: Why
  Representation Matters
Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters
Trevor A. McInroe
Michael Spurrier
J. Sieber
Stephen Conneely
123
0
0
11 Mar 2021
Reset-Free Lifelong Learning with Skill-Space Planning
Reset-Free Lifelong Learning with Skill-Space Planning
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
CLLOffRL
335
42
0
07 Dec 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement
  Learning
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
Annie S. Chen
H. Nam
Suraj Nair
Chelsea Finn
OffRL
227
27
0
22 Oct 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in
  Locomotion
Towards General and Autonomous Learning of Core Skills: A Case Study in LocomotionConference on Robot Learning (CoRL), 2020
Agrim Gupta
Tim Hertweck
Philipp Kloppner
Michael Bloesch
Michael Neunert
Markus Wulfmeier
S. Tunyasuvunakool
N. Heess
Martin Riedmiller
273
21
0
06 Aug 2020
1
Page 1 of 1