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Reinforcement Learning with Prototypical Representations

Reinforcement Learning with Prototypical Representations

22 February 2021
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
    SSL
ArXivPDFHTML

Papers citing "Reinforcement Learning with Prototypical Representations"

50 / 67 papers shown
Title
Imagine, Verify, Execute: Memory-Guided Agentic Exploration with Vision-Language Models
Imagine, Verify, Execute: Memory-Guided Agentic Exploration with Vision-Language Models
Seungjae Lee
Daniel Ekpo
Haowen Liu
Furong Huang
Abhinav Shrivastava
Jia-Bin Huang
LM&Ro
40
0
0
12 May 2025
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Abdulaziz Almuzairee
Rohan Patil
Dwait Bhatt
Henrik I. Christensen
34
0
0
07 May 2025
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story
Vincenzo De Paola
Riccardo Zamboni
Mirco Mutti
Marcello Restelli
19
0
0
02 May 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
Xuyang Li
Romit Maulik
46
0
0
24 Feb 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Xin Liu
Yaran Chen
Haoran Li
SSL
94
0
0
14 Dec 2024
State Chrono Representation for Enhancing Generalization in
  Reinforcement Learning
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
Jianda Chen
Wen Zheng Terence Ng
Zichen Chen
Sinno Jialin Pan
Tianwei Zhang
OffRL
37
0
0
09 Nov 2024
Language Guided Skill Discovery
Language Guided Skill Discovery
Seungeun Rho
Laura Smith
Tianyu Li
Sergey Levine
Xue Bin Peng
Sehoon Ha
LM&Ro
42
4
0
07 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Donghu Kim
Jaegul Choo
39
1
0
01 Jun 2024
Learning Future Representation with Synthetic Observations for
  Sample-efficient Reinforcement Learning
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
45
1
0
20 May 2024
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
Hany Hamed
Subin Kim
Dongyeong Kim
Jaesik Yoon
Sungjin Ahn
47
4
0
29 Feb 2024
Learning control strategy in soft robotics through a set of
  configuration spaces
Learning control strategy in soft robotics through a set of configuration spaces
Etienne Ménager
Christian Duriez
40
0
0
21 Feb 2024
Augmenting Unsupervised Reinforcement Learning with Self-Reference
Augmenting Unsupervised Reinforcement Learning with Self-Reference
Andrew Zhao
Erle Zhu
Rui Lu
Matthieu Lin
Yong-Jin Liu
Gao Huang
SSL
34
1
0
16 Nov 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery
  of Skills
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
Seongun Kim
Kyowoon Lee
Jaesik Choi
SSL
DRL
41
7
0
30 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
33
34
0
13 Oct 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement
  Learning
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
David Yunis
Justin Jung
Falcon Z. Dai
Matthew R. Walter
OffRL
47
0
0
08 Sep 2023
PASTA: Pretrained Action-State Transformer Agents
PASTA: Pretrained Action-State Transformer Agents
Raphael Boige
Yannis Flet-Berliac
Arthur Flajolet
Guillaume Richard
Thomas Pierrot
LM&Ro
OffRL
40
5
0
20 Jul 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient
  Visual Reinforcement Learning
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Guozheng Ma
Linrui Zhang
Haoyu Wang
Lu Li
Zilin Wang
Zhen Wang
Li Shen
Xueqian Wang
Dacheng Tao
42
10
0
25 May 2023
Think Before You Act: Unified Policy for Interleaving Language Reasoning
  with Actions
Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions
Lina Mezghani
Piotr Bojanowski
Alahari Karteek
Sainbayar Sukhbaatar
LM&Ro
OffRL
LRM
23
8
0
18 Apr 2023
Accelerating exploration and representation learning with offline
  pre-training
Accelerating exploration and representation learning with offline pre-training
Bogdan Mazoure
Jake Bruce
Doina Precup
Rob Fergus
Ankit Anand
OffRL
34
5
0
31 Mar 2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile
  Representations with Robotic Play
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play
Irmak Güzey
Ben Evans
Soumith Chintala
Lerrel Pinto
70
66
0
21 Mar 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models
Guiding Pretraining in Reinforcement Learning with Large Language Models
Yuqing Du
Olivia Watkins
Zihan Wang
Cédric Colas
Trevor Darrell
Pieter Abbeel
Abhishek Gupta
Jacob Andreas
LM&Ro
25
175
0
13 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Xin Liu
Yaran Chen
Haoran Li
Boyu Li
Dong Zhao
SSL
66
10
0
11 Feb 2023
Investigating the role of model-based learning in exploration and
  transfer
Investigating the role of model-based learning in exploration and transfer
Jacob Walker
Eszter Vértes
Yazhe Li
Gabriel Dulac-Arnold
Ankesh Anand
T. Weber
Jessica B. Hamrick
OffRL
36
7
0
08 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL
Predictable MDP Abstraction for Unsupervised Model-Based RL
Seohong Park
Sergey Levine
24
9
0
08 Feb 2023
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical
  Reinforcement Learning Approach
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach
Yigit Gurses
Kaan Buyukdemirci
Y. Yildiz
31
5
0
04 Feb 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
  Shaping
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
44
18
0
05 Jan 2023
Survey on Self-Supervised Multimodal Representation Learning and
  Foundation Models
Survey on Self-Supervised Multimodal Representation Learning and Foundation Models
Sushil Thapa
AI4TS
SSL
20
1
0
29 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
Alexandre Lacoste
Sai Rajeswar
29
22
0
23 Nov 2022
Masked Autoencoding for Scalable and Generalizable Decision Making
Masked Autoencoding for Scalable and Generalizable Decision Making
Fangchen Liu
Hao Liu
Aditya Grover
Pieter Abbeel
OffRL
50
45
0
23 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal
  Conditioned Reinforcement Learning
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
Riashat Islam
Hongyu Zang
Anirudh Goyal
Alex Lamb
Kenji Kawaguchi
Xin-hui Li
Romain Laroche
Yoshua Bengio
Rémi Tachet des Combes
OffRL
AI4CE
23
9
0
01 Nov 2022
Learning General World Models in a Handful of Reward-Free Deployments
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
62
9
0
23 Oct 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic
  Manipulator Control
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control
Yanfei Xiang
Xin Wang
Shu Hu
Bin Zhu
Xiaomeng Huang
Xi Wu
Siwei Lyu
SSL
29
5
0
20 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
A Mixture of Surprises for Unsupervised Reinforcement Learning
Andrew Zhao
Matthieu Lin
Yangguang Li
Yong-Jin Liu
Gao Huang
28
13
0
13 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement
  Learning
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
43
27
0
10 Oct 2022
Does Zero-Shot Reinforcement Learning Exist?
Does Zero-Shot Reinforcement Learning Exist?
Ahmed Touati
Jérémy Rapin
Yann Ollivier
OffRL
42
39
0
29 Sep 2022
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
Sai Rajeswar
Pietro Mazzaglia
Tim Verbelen
Alexandre Piché
Bart Dhoedt
Rameswar Panda
Alexandre Lacoste
SSL
28
21
0
24 Sep 2022
Pretraining the Vision Transformer using self-supervised methods for
  vision based Deep Reinforcement Learning
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão
Arlindo L. Oliveira
ViT
45
6
0
22 Sep 2022
Locally Constrained Representations in Reinforcement Learning
Locally Constrained Representations in Reinforcement Learning
Somjit Nath
Rushiv Arora
Samira Ebrahimi Kahou
OOD
OffRL
32
0
0
20 Sep 2022
An information-theoretic perspective on intrinsic motivation in
  reinforcement learning: a survey
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
37
35
0
19 Sep 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
Zijian Gao
Yiying Li
Kele Xu
Yuanzhao Zhai
Dawei Feng
Bo Ding
Xinjun Mao
Huaimin Wang
38
0
0
24 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
40
27
0
19 Aug 2022
Time to augment self-supervised visual representation learning
Time to augment self-supervised visual representation learning
A. Aubret
M. Ernst
Céline Teulière
Jochen Triesch
39
10
0
27 Jul 2022
Masked World Models for Visual Control
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
93
147
0
28 Jun 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning
Nuclear Norm Maximization Based Curiosity-Driven Learning
Chao Chen
Zijian Gao
Kele Xu
Sen Yang
Yiying Li
Bo Ding
Dawei Feng
Huaimin Wang
169
5
0
21 May 2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse
  Reward Visual Scenes
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes
Zheng Fang
Biao Zhao
Guizhong Liu
16
2
0
19 May 2022
Reinforcement Learning with Action-Free Pre-Training from Videos
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
SSL
OnRL
18
118
0
25 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Simone Parisi
Aravind Rajeswaran
Senthil Purushwalkam
Abhinav Gupta
LM&Ro
34
187
0
07 Mar 2022
Challenging Common Assumptions in Convex Reinforcement Learning
Challenging Common Assumptions in Convex Reinforcement Learning
Mirco Mutti
Ric De Santi
Piersilvio De Bartolomeis
Marcello Restelli
OffRL
32
21
0
03 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
Michael Laskin
Hao Liu
Xue Bin Peng
Denis Yarats
Aravind Rajeswaran
Pieter Abbeel
SSL
78
66
0
01 Feb 2022
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