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Contrastive Learning as Goal-Conditioned Reinforcement Learning

Contrastive Learning as Goal-Conditioned Reinforcement Learning

15 June 2022
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
    SSL
    OffRL
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Papers citing "Contrastive Learning as Goal-Conditioned Reinforcement Learning"

50 / 109 papers shown
Title
Symbolically-Guided Visual Plan Inference from Uncurated Video Data
Symbolically-Guided Visual Plan Inference from Uncurated Video Data
Wenyan Yang
Ahmet Tikna
Yi Zhao
Yuying Zhang
Luigi Palopoli
Marco Roveri
Joni Pajarinen
VGen
26
0
0
13 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 Adjustment
Jinwoo Choi
Seung-Woo Seo
OffRL
31
0
0
21 Apr 2025
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
Kevin Wang
Ishaan Javali
Michał Bortkiewicz
Tomasz Trzciñski
Benjamin Eysenbach
SSL
OffRL
69
0
0
19 Mar 2025
Generative Trajectory Stitching through Diffusion Composition
Generative Trajectory Stitching through Diffusion Composition
Yunhao Luo
Utkarsh Aashu Mishra
Yilun Du
Danfei Xu
135
1
0
07 Mar 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Vivek Myers
Bill Chunyuan Zheng
Anca Dragan
Kuan Fang
Sergey Levine
65
0
0
08 Feb 2025
Episodic Novelty Through Temporal Distance
Y. Jiang
Qihan Liu
Yiqin Yang
Xiaoteng Ma
Dianyu Zhong
...
Jun Yang
Bin Liang
Bo Xu
Chongjie Zhang
Qianchuan Zhao
OffRL
40
0
0
28 Jan 2025
Learning to Assist Humans without Inferring Rewards
Learning to Assist Humans without Inferring Rewards
Vivek Myers
Evan Ellis
Sergey Levine
Benjamin Eysenbach
Anca Dragan
43
2
0
17 Jan 2025
CAREL: Instruction-guided reinforcement learning with cross-modal
  auxiliary objectives
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives
Armin Saghafian
Amirmohammad Izadi
Negin Hashemi Dijujin
M. Baghshah
66
0
0
29 Nov 2024
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction
Xinmeng Hou
Lingyue Fu
Chenhao Meng
Hai Hu
Wuqi Wang
Hai Hu
72
0
0
29 Nov 2024
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised
  Online Refinement
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement
Tewodros Ayalew
Xiao Zhang
Kevin Yuanbo Wu
Tianchong Jiang
Michael Maire
Matthew R. Walter
OffRL
75
1
0
26 Nov 2024
OGBench: Benchmarking Offline Goal-Conditioned RL
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park
Kevin Frans
Benjamin Eysenbach
Sergey Levine
OffRL
50
8
0
26 Oct 2024
Zero-Shot Offline Imitation Learning via Optimal Transport
Zero-Shot Offline Imitation Learning via Optimal Transport
Thomas Rupf
Marco Bagatella
Nico Gürtler
Jonas Frey
Georg Martius
OffRL
135
0
0
11 Oct 2024
Contrastive Abstraction for Reinforcement Learning
Contrastive Abstraction for Reinforcement Learning
Vihang Patil
M. Hofmarcher
Elisabeth Rumetshofer
Sepp Hochreiter
OffRL
SSL
24
2
0
01 Oct 2024
LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged
  Robots
LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots
Peilin Wu
Weiji Xie
Jiahang Cao
Hang Lai
Weinan Zhang
29
1
0
26 Sep 2024
Exploring Semantic Clustering in Deep Reinforcement Learning for Video
  Games
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games
Liang Zhang
Justin Lieffers
A. Pyarelal
24
0
0
25 Sep 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning
Alihan Hüyük
A. R. Koblitz
Atefeh Mohajeri
M. Andrews
OffRL
40
0
0
19 Sep 2024
Quasimetric Value Functions with Dense Rewards
Quasimetric Value Functions with Dense Rewards
Khadichabonu Valieva
Bikramjit Banerjee
OffRL
35
0
0
13 Sep 2024
DeMoBot: Deformable Mobile Manipulation with Vision-based Sub-goal
  Retrieval
DeMoBot: Deformable Mobile Manipulation with Vision-based Sub-goal Retrieval
Yuying Zhang
Wenyan Yang
Joni Pajarinen
37
1
0
28 Aug 2024
Unsupervised-to-Online Reinforcement Learning
Unsupervised-to-Online Reinforcement Learning
Junsu Kim
Seohong Park
Sergey Levine
OnRL
56
3
0
27 Aug 2024
Online Behavior Modification for Expressive User Control of RL-Trained
  Robots
Online Behavior Modification for Expressive User Control of RL-Trained Robots
Isaac S. Sheidlower
Mavis Murdock
Emma Bethel
Reuben M. Aronson
E. Short
OffRL
37
3
0
15 Aug 2024
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 Subgoals
Grace Liu
Michael Tang
Benjamin Eysenbach
OffRL
40
0
0
11 Aug 2024
CURLing the Dream: Contrastive Representations for World Modeling in
  Reinforcement Learning
CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement Learning
V. A. Kich
J. A. Bottega
Raul Steinmetz
Ricardo B. Grando
Ayano Yorozu
Akihisa Ohya
OffRL
38
0
0
11 Aug 2024
Contrast, Imitate, Adapt: Learning Robotic Skills From Raw Human Videos
Contrast, Imitate, Adapt: Learning Robotic Skills From Raw Human Videos
Zhifeng Qian
Mingyu You
Hongjun Zhou
Xuanhui Xu
Hao Fu
Jinzhe Xue
Bin He
26
0
0
10 Aug 2024
NOLO: Navigate Only Look Once
NOLO: Navigate Only Look Once
Mengyu Bu
Shuhao Gu
Yang Feng
EgoV
47
1
0
02 Aug 2024
Autonomous Improvement of Instruction Following Skills via Foundation
  Models
Autonomous Improvement of Instruction Following Skills via Foundation Models
Zhiyuan Zhou
P. Atreya
Abraham Lee
Homer Walke
Oier Mees
Sergey Levine
32
11
0
30 Jul 2024
Learning Goal-Conditioned Representations for Language Reward Models
Learning Goal-Conditioned Representations for Language Reward Models
Vaskar Nath
Dylan Slack
Jeff Da
Yuntao Ma
Hugh Zhang
Spencer Whitehead
Sean Hendryx
29
0
0
18 Jul 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
45
7
0
24 Jun 2024
To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment
To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment
Maximilian Du
Alexander Khazatsky
Tobias Gerstenberg
Chelsea Finn
49
0
0
22 Jun 2024
Learning telic-controllable state representations
Learning telic-controllable state representations
Nadav Amir
Stas Tiomkin
Angela Langdon
34
0
0
20 Jun 2024
Exploration by Learning Diverse Skills through Successor State Measures
Exploration by Learning Diverse Skills through Successor State Measures
Paul-Antoine Le Tolguenec
Yann Besse
Florent Teichteil-Königsbuch
Dennis G. Wilson
Emmanuel Rachelson
40
0
0
14 Jun 2024
Contrastive Imitation Learning for Language-guided Multi-Task Robotic
  Manipulation
Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation
Teli Ma
Jiaming Zhou
Zifan Wang
Ronghe Qiu
Junwei Liang
48
9
0
14 Jun 2024
Is Value Learning Really the Main Bottleneck in Offline RL?
Is Value Learning Really the Main Bottleneck in Offline RL?
Seohong Park
Kevin Frans
Sergey Levine
Aviral Kumar
OffRL
51
8
0
13 Jun 2024
Skill-aware Mutual Information Optimisation for Generalisation in
  Reinforcement Learning
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
Xuehui Yu
Mhairi Dunion
Xin Li
Stefano V. Albrecht
36
2
0
07 Jun 2024
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space
  Alignment
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment
Tianyu Wang
Dwait Bhatt
Xiaolong Wang
Nikolay Atanasov
51
5
0
04 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Haoran He
C. Chang
Huazhe Xu
Ling Pan
89
6
0
03 Jun 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Jiafei Lyu
Chenjia Bai
Jingwen Yang
Zongqing Lu
Xiu Li
30
8
0
24 May 2024
Maximum Manifold Capacity Representations in State Representation
  Learning
Maximum Manifold Capacity Representations in State Representation Learning
Li Meng
Morten Goodwin
Anis Yazidi
P. Engelstad
52
0
0
22 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement
  Learning
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen
Yi-Fan Yao
Zuxin Liu
Ding Zhao
OffRL
40
3
0
20 May 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline
  Reinforcement Learning
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
Xiaoyu Wen
Chenjia Bai
Kang Xu
Xudong Yu
Yang Zhang
Xuelong Li
Zhen Wang
41
2
0
10 May 2024
Goal-conditioned reinforcement learning for ultrasound navigation
  guidance
Goal-conditioned reinforcement learning for ultrasound navigation guidance
A. Amadou
Vivek Singh
Florin-Cristian Ghesu
Young-Ho Kim
Laura Stanciulescu
Harshitha P. Sai
Puneet Sharma
Alistair Young
Ronak Rajani
K. Rhode
24
4
0
02 May 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
38
19
0
30 Mar 2024
CORN: Contact-based Object Representation for Nonprehensile Manipulation
  of General Unseen Objects
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects
Yoonyoung Cho
Junhyek Han
Yoontae Cho
Beomjoon Kim
42
8
0
16 Mar 2024
Inference via Interpolation: Contrastive Representations Provably Enable
  Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
41
8
0
06 Mar 2024
Rethinking Mutual Information for Language Conditioned Skill Discovery
  on Imitation Learning
Rethinking Mutual Information for Language Conditioned Skill Discovery on Imitation Learning
Zhaoxun Ju
Chao Yang
Hongbo Wang
Yu Qiao
Gang Hua
LM&Ro
28
3
0
27 Feb 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward
  Encodings
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
Kevin Frans
Seohong Park
Pieter Abbeel
Sergey Levine
OffRL
48
10
0
27 Feb 2024
Foundation Policies with Hilbert Representations
Foundation Policies with Hilbert Representations
Seohong Park
Tobias Kreiman
Sergey Levine
SSL
OffRL
50
19
0
23 Feb 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport
Align Your Intents: Offline Imitation Learning via Optimal Transport
Maksim Bobrin
N. Buzun
Dmitrii Krylov
Dmitry V. Dylov
OffRL
51
3
0
20 Feb 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
24
0
0
16 Feb 2024
A Distributional Analogue to the Successor Representation
A Distributional Analogue to the Successor Representation
Harley Wiltzer
Jesse Farebrother
Arthur Gretton
Yunhao Tang
André Barreto
Will Dabney
Marc G. Bellemare
Mark Rowland
44
5
0
13 Feb 2024
Sample Efficient Reinforcement Learning by Automatically Learning to
  Compose Subtasks
Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks
Shuai Han
Mehdi Dastani
Shihan Wang
OffRL
52
1
0
25 Jan 2024
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