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. 2007.05929
  4. Cited By
Data-Efficient Reinforcement Learning with Self-Predictive
  Representations
v1v2v3v4 (latest)

Data-Efficient Reinforcement Learning with Self-Predictive Representations

International Conference on Learning Representations (ICLR), 2020
12 July 2020
Max Schwarzer
Ankesh Anand
Rishab Goel
R. Devon Hjelm
Aaron Courville
Philip Bachman
ArXiv (abs)PDFHTMLGithub (161★)

Papers citing "Data-Efficient Reinforcement Learning with Self-Predictive Representations"

50 / 235 papers shown
LAOF: Robust Latent Action Learning with Optical Flow Constraints
LAOF: Robust Latent Action Learning with Optical Flow Constraints
Xizhou Bu
Jiexi Lyu
Fulei Sun
R. G. Yang
Zhiqiang Ma
Wei Li
203
3
0
20 Nov 2025
Next-Latent Prediction Transformers Learn Compact World Models
Next-Latent Prediction Transformers Learn Compact World Models
Jayden Teoh
Manan Tomar
Kwangjun Ahn
E. Hu
Pratyusha Sharma
Riashat Islam
Alex Lamb
John Langford
217
6
0
08 Nov 2025
Enhancing Q-Value Updates in Deep Q-Learning via Successor-State Prediction
Enhancing Q-Value Updates in Deep Q-Learning via Successor-State Prediction
Lipeng Zu
Hansong Zhou
Xiaonan Zhang
121
0
0
05 Nov 2025
Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach
Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach
Alessandro Sestini
Joakim Bergdahl
Jean-Philippe Barrette-LaPierre
Florian Fuchs
Brady Chen
Michael Jones
Linus Gisslén
209
0
0
27 Oct 2025
Enhancing Tactile-based Reinforcement Learning for Robotic Control
Enhancing Tactile-based Reinforcement Learning for Robotic Control
Elle Miller
Trevor A. McInroe
David Abel
Oisin Mac Aodha
S. Vijayakumar
174
0
0
24 Oct 2025
Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
J. Obando-Ceron
Walter Mayor
Samuel Lavoie
Scott Fujimoto
Aaron Courville
Pablo Samuel Castro
190
6
0
15 Oct 2025
Rethinking the Role of Dynamic Sparse Training for Scalable Deep Reinforcement Learning
Rethinking the Role of Dynamic Sparse Training for Scalable Deep Reinforcement Learning
Guozheng Ma
Lu Li
Zilin Wang
Haoyu Wang
Shengchao Hu
Leszek Rutkowski
D. Tao
AI4CE
207
0
0
14 Oct 2025
Dual Goal Representations
Dual Goal Representations
S. Park
Deepinder Mann
Sergey Levine
268
3
0
08 Oct 2025
TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning
TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning
Marco Bagatella
Matteo Pirotta
Ahmed Touati
A. Lazaric
Andrea Tirinzoni
OffRLBDL
200
7
0
01 Oct 2025
DyMoDreamer: World Modeling with Dynamic Modulation
DyMoDreamer: World Modeling with Dynamic Modulation
Boxuan Zhang
Runqing Wang
Wei Xiao
Weipu Zhang
Jian Sun
Gao Huang
Jie Chen
Gang Wang
213
0
0
29 Sep 2025
What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?
What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?
Ibne Farabi Shihab
Sanjeda Akter
Anuj Sharma
OffRL
189
1
0
04 Sep 2025
Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
Fernando Martinez
Tao Li
Y. Lu
Juntao Chen
OffRL
221
0
0
10 Aug 2025
Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies
Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies
Yi Ma
Hongyao Tang
Chenjun Xiao
Yaodong Yang
Wei Wei
Jianye Hao
Jiye Liang
OffRL
238
0
0
05 Aug 2025
Revisiting Bisimulation Metric for Robust Representations in Reinforcement Learning
Revisiting Bisimulation Metric for Robust Representations in Reinforcement Learning
Leiji Zhang
Zeyu Wang
Xin Li
Y. Li
341
0
0
24 Jul 2025
Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning
Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning
Rafał Surdej
Michał Bortkiewicz
Alex Lewandowski
M. Ostaszewski
Clare Lyle
281
3
0
19 Jul 2025
Relative Entropy Pathwise Policy Optimization
Relative Entropy Pathwise Policy Optimization
C. Voelcker
Axel Brunnbauer
Marcel Hussing
Michal Nauman
Pieter Abbeel
Eric Eaton
Radu Grosu
Amir-massoud Farahmand
Igor Gilitschenski
497
1
0
15 Jul 2025
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2025
Yucheng Yang
Tianyi Zhou
Qiang He
Lei Han
Mykola Pechenizkiy
Meng Fang
SSL
336
11
0
12 Jun 2025
Intention-Conditioned Flow Occupancy Models
Chongyi Zheng
S. Park
Sergey Levine
Benjamin Eysenbach
AI4TSOffRLAI4CE
386
5
0
10 Jun 2025
Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning
Self-Predictive Dynamics for Generalization of Vision-based Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Kyungsoo Kim
Jeongsoo Ha
Yusung Kim
BDL
207
10
0
05 Jun 2025
Simple, Good, Fast: Self-Supervised World Models Free of Baggage
Simple, Good, Fast: Self-Supervised World Models Free of BaggageInternational Conference on Learning Representations (ICLR), 2025
Jan Robine
Marc Höftmann
Stefan Harmeling
DRLOCL
355
5
0
03 Jun 2025
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners
Michal Nauman
Marek Cygan
Carmelo Sferrazza
Aviral Kumar
Pieter Abbeel
OffRL
308
15
0
29 May 2025
Universal Value-Function Uncertainties
Universal Value-Function Uncertainties
Moritz A. Zanger
Max Weltevrede
Yaniv Oren
Pascal R. van der Vaart
Caroline Horsch
Wendelin Bohmer
M. Spaan
OffRL
337
1
0
27 May 2025
Hadamax Encoding: Elevating Performance in Model-Free Atari
Hadamax Encoding: Elevating Performance in Model-Free Atari
Jacob E. Kooi
Zhao Yang
Vincent François-Lavet
320
2
0
21 May 2025
DSADF: Thinking Fast and Slow for Decision Making
DSADF: Thinking Fast and Slow for Decision Making
Alex Zhihao Dou
Dongfei Cui
Jun Yan
Wei Wang
Benteng Chen
Haoming Wang
Zeke Xie
Shufei Zhang
OffRL
639
5
0
13 May 2025
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
Hafez Ghaemi
Eilif Muller
Shahab Bakhtiari
705
3
0
06 May 2025
NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
Xiangyan Liu
Jinjie Ni
Zijian Wu
Chao Du
Longxu Dou
Jian Shu
Tianyu Pang
Michael Shieh
OffRLLRM
1.3K
76
0
17 Apr 2025
Measuring In-Context Computation Complexity via Hidden State Prediction
Measuring In-Context Computation Complexity via Hidden State Prediction
Vincent Herrmann
Róbert Csordás
Jürgen Schmidhuber
349
2
0
17 Mar 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Studying the Interplay Between the Actor and Critic Representations in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2025
Samuel Garcin
Trevor A. McInroe
Pablo Samuel Castro
Prakash Panangaden
Christopher G. Lucas
David Abel
Stefano V. Albrecht
418
6
0
08 Mar 2025
Multi-Task Reinforcement Learning Enables Parameter Scaling
Multi-Task Reinforcement Learning Enables Parameter Scaling
Reginald McLean
Evangelos Chataroulas
Jordan Terry
Isaac Woungang
Nariman Farsad
Pablo Samuel Castro
LRM
536
9
0
07 Mar 2025
Discrete Codebook World Models for Continuous Control
Discrete Codebook World Models for Continuous ControlInternational Conference on Learning Representations (ICLR), 2025
Aidan Scannell
Mohammadreza Nakhaei
Kalle Kujanpää
Yi Zhao
Kevin Sebastian Luck
Dieter Büchler
Joni Pajarinen
OffRL
398
11
0
01 Mar 2025
The Learning Approach to Games
The Learning Approach to Games
Melih İşeri
Erhan Bayraktar
235
0
0
28 Feb 2025
Safety Representations for Safer Policy Learning
Safety Representations for Safer Policy LearningInternational Conference on Learning Representations (ICLR), 2025
Kaustubh Mani
Vincent Mai
Charlie Gauthier
Annie Chen
Samer Nashed
Liam Paull
242
2
0
27 Feb 2025
Towards General-Purpose Model-Free Reinforcement Learning
Towards General-Purpose Model-Free Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2025
Scott Fujimoto
P. DÓro
Amy Zhang
Yuandong Tian
Michael Rabbat
OffRL
354
31
0
28 Jan 2025
Efficient Policy Adaptation with Contrastive Prompt Ensemble for
  Embodied Agents
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied AgentsNeural Information Processing Systems (NeurIPS), 2024
Wonje Choi
Woo Kyung Kim
SeungHyun Kim
Honguk Woo
361
15
0
16 Dec 2024
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled VideosIEEE International Conference on Robotics and Automation (ICRA), 2024
Xin Liu
Yaran Chen
Haoran Li
SSL
646
5
0
14 Dec 2024
State Chrono Representation for Enhancing Generalization in
  Reinforcement Learning
State Chrono Representation for Enhancing Generalization in Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024
Jianda Chen
Wen Zheng Terence Ng
Zichen Chen
Sinno Jialin Pan
Tianwei Zhang
OffRL
233
5
0
09 Nov 2024
CALE: Continuous Arcade Learning Environment
CALE: Continuous Arcade Learning EnvironmentNeural Information Processing Systems (NeurIPS), 2024
Jesse Farebrother
Pablo Samuel Castro
ELM
298
2
0
31 Oct 2024
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL
Ömer Veysel Çağatan
Barış Akgün
OffRL
586
1
0
22 Oct 2024
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
Suning Huang
Zheyu Zhang
Tianhai Liang
Yihan Xu
Zhehao Kou
Chenhao Lu
Guowei Xu
Zhengrong Xue
Huazhe Xu
MoE
536
25
0
19 Oct 2024
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Bryan L. M. de Oliveira
Murilo L. da Luz
Bruno Brandão
Luana G. B. Martins
Telma W. de L. Soares
Luckeciano C. Melo
OffRL
780
6
0
17 Oct 2024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2024
Hojoon Lee
Dongyoon Hwang
Donghu Kim
Hyunseung Kim
Jun Jet Tai
K. Subramanian
Peter R. Wurman
Jaegul Choo
Peter Stone
Takuma Seno
OffRL
575
60
0
13 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RLInternational Conference on Learning Representations (ICLR), 2024
C. Voelcker
Marcel Hussing
Eric Eaton
Amir-massoud Farahmand
Igor Gilitschenski
486
12
0
11 Oct 2024
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter EfficientInternational Conference on Learning Representations (ICLR), 2024
Wenlong Wang
Ivana Dusparic
Yucheng Shi
Ke Zhang
Vinny Cahill
Mamba
1.2K
3
0
11 Oct 2024
Next state prediction gives rise to entangled, yet compositional
  representations of objects
Next state prediction gives rise to entangled, yet compositional representations of objects
Tankred Saanum
Luca M. Schulze Buschoff
Peter Dayan
Eric Schulz
OCLCoGeOOD
243
2
0
07 Oct 2024
Contrastive Abstraction for Reinforcement Learning
Contrastive Abstraction for Reinforcement Learning
Vihang Patil
M. Hofmarcher
Elisabeth Rumetshofer
Sepp Hochreiter
OffRLSSL
338
5
0
01 Oct 2024
Generalizing Consistency Policy to Visual RL with Prioritized Proximal
  Experience Regularization
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience RegularizationNeural Information Processing Systems (NeurIPS), 2024
Haoran Li
Zhennan Jiang
Yuhui Chen
Dongbin Zhao
OffRL
446
9
0
28 Sep 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor ControlNeural Information Processing Systems (NeurIPS), 2024
Zichen Jeff Cui
Hengkai Pan
Aadhithya Iyer
Siddhant Haldar
Lerrel Pinto
VGen
517
39
0
18 Sep 2024
CURLing the Dream: Contrastive Representations for World Modeling in
  Reinforcement Learning
CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement LearningInternational Conference on Control, Automation and Systems (ICCAS), 2024
V. A. Kich
J. A. Bottega
Raul Steinmetz
Ricardo B. Grando
Ayano Yorozu
Akihisa Ohya
OffRL
380
0
0
11 Aug 2024
ProSpec RL: Plan Ahead, then Execute
ProSpec RL: Plan Ahead, then Execute
Liangliang Liu
Huiyu Duan
Liu Yang
Rujia Shen
Yi Lin
Chaoran Kong
Lian Yan
P. Callet
OffRL
308
0
0
31 Jul 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive RepresentationsInternational Conference on Learning Representations (ICLR), 2024
Yupei Yang
Erdun Gao
Fan Feng
Xinyue Wang
Shikui Tu
Lei Xu
CMLOODTTA
729
3
0
30 Jul 2024
12345
Next
Page 1 of 5