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Self-supervised Learning of Distance Functions for Goal-Conditioned
  Reinforcement Learning
v1v2 (latest)

Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning

5 July 2019
Srinivas Venkattaramanujam
Eric Crawford
T. Doan
Doina Precup
    OffRLSSL
ArXiv (abs)PDFHTML

Papers citing "Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning"

22 / 22 papers shown
Title
VH-Diffuser: Variable Horizon Diffusion Planner for Time-Aware Goal-Conditioned Trajectory Planning
VH-Diffuser: Variable Horizon Diffusion Planner for Time-Aware Goal-Conditioned Trajectory Planning
Ruijia Liu
Ancheng Hou
Shaoyuan Li
Xiang Yin
97
1
0
15 Sep 2025
Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative Feedback
Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative Feedback
Zeqiang Zhang
Fabian Wurzberger
Gerrit Schmid
Sebastian Gottwald
Daniel A. Braun
SSL
164
0
0
03 Sep 2025
Contrastive Representations for Temporal Reasoning
Contrastive Representations for Temporal Reasoning
Alicja Ziarko
Michal Bortkiewicz
Michal Zawalski
Benjamin Eysenbach
Piotr Milos
NAI
118
2
0
18 Aug 2025
A Single Goal is All You Need: Skills and Exploration Emerge from
  Contrastive RL without Rewards, Demonstrations, or Subgoals
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or SubgoalsInternational Conference on Learning Representations (ICLR), 2024
Grace Liu
Michael Tang
Benjamin Eysenbach
OffRL
351
8
0
11 Aug 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Vivek Myers
Chongyi Zheng
Anca Dragan
Sergey Levine
Benjamin Eysenbach
OffRL
329
30
0
24 Jun 2024
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via
  Metric Learning
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning
Alfredo Reichlin
Miguel Vasco
Hang Yin
Danica Kragic
OffRL
336
1
0
16 Feb 2024
Exploiting Unlabeled Data for Feedback Efficient Human Preference based
  Reinforcement Learning
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning
Mudit Verma
Siddhant Bhambri
Subbarao Kambhampati
127
5
0
17 Feb 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
  Shaping
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward ShapingConference on Robot Learning (CoRL), 2023
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
278
22
0
05 Jan 2023
Improved Representation of Asymmetrical Distances with Interval
  Quasimetric Embeddings
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
Tongzhou Wang
Phillip Isola
179
13
0
28 Nov 2022
Automatic Reward Design via Learning Motivation-Consistent Intrinsic
  Rewards
Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards
Yixiang Wang
Yujing Hu
Feng Wu
Yingfeng Chen
132
3
0
29 Jul 2022
Walk the Random Walk: Learning to Discover and Reach Goals Without
  Supervision
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
Alahari Karteek
202
4
0
23 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSLOffRL
267
207
0
15 Jun 2022
Successor Feature Landmarks for Long-Horizon Goal-Conditioned
  Reinforcement Learning
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang
Sungryull Sohn
Jongwook Choi
Wilka Carvalho
Honglak Lee
146
38
0
18 Nov 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in
  Reinforcement Learning
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
Jinxin Liu
Hao Shen
Xuetao Zhang
Yachen Kang
Qiangxing Tian
247
20
0
25 Oct 2021
Adversarial Intrinsic Motivation for Reinforcement Learning
Adversarial Intrinsic Motivation for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
Ishan Durugkar
Mauricio Tec
S. Niekum
Peter Stone
OOD
455
47
0
27 May 2021
Outcome-Driven Reinforcement Learning via Variational Inference
Outcome-Driven Reinforcement Learning via Variational InferenceNeural Information Processing Systems (NeurIPS), 2021
Tim G. J. Rudner
Vitchyr H. Pong
R. McAllister
Y. Gal
Sergey Levine
221
22
0
20 Apr 2021
Autotelic Agents with Intrinsically Motivated Goal-Conditioned
  Reinforcement Learning: a Short Survey
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short SurveyJournal of Artificial Intelligence Research (JAIR), 2020
Cédric Colas
Tristan Karch
Olivier Sigaud
Pierre-Yves Oudeyer
728
118
0
17 Dec 2020
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
C-Learning: Horizon-Aware Cumulative Accessibility EstimationInternational Conference on Learning Representations (ICLR), 2020
Panteha Naderian
Gabriel Loaiza-Ganem
H. Braviner
M. Volkovs
Jesse C. Cresswell
Tong Li
Animesh Garg
217
1
0
24 Nov 2020
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep
  Reinforcement Learning
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement LearningIEEE Transactions on Cognitive and Developmental Systems (TCDS), 2020
Grgur Kovač
A. Laversanne-Finot
Pierre-Yves Oudeyer
226
12
0
10 Aug 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Weakly-Supervised Reinforcement Learning for Controllable BehaviorNeural Information Processing Systems (NeurIPS), 2020
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
196
26
0
06 Apr 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven
  Exploration
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven ExplorationNeural Information Processing Systems (NeurIPS), 2020
Cédric Colas
Tristan Karch
Nicolas Lair
Jean-Michel Dussoux
Clément Moulin-Frier
Peter Ford Dominey
Pierre-Yves Oudeyer
LM&RoLLMAGLRM
186
133
0
21 Feb 2020
A survey on intrinsic motivation in reinforcement learning
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
307
156
0
19 Aug 2019
1