Title
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models Hafez Ghaemi Eilif Muller Shahab Bakhtiari 42 0 0 06 May 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 63 0 0 14 Mar 2025
Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto P. DÓro Amy Zhang Yuandong Tian Michael Rabbat OffRL 34 3 0 28 Jan 2025
$\beta$ -DQN: Improving Deep Q-Learning By Evolving the Behavior Hongming Zhang Fengshuo Bai Chenjun Xiao Chao Gao Bo Xu Martin Müller OffRL 19 2 0 03 Jan 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 54 0 0 23 Oct 2024
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator Andrew Levy A. Allievi George Konidaris 49 0 0 15 Oct 2024
AdaMemento: Adaptive Memory-Assisted Policy Optimization for Reinforcement Learning Renye Yan Yaozhong Gan You Wu Junliang Xing Ling Liangn Yeshang Zhu Yimao Cai OffRL 23 1 0 06 Oct 2024
PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation Mohammadamin Davoodabadi Negin Hashemi Dijujin M. Baghshah 18 0 0 02 Oct 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors Joseph Ortiz Antoine Dedieu Wolfgang Lehrach Swaroop Guntupalli Carter Wendelken Ahmad Humayun Guangyao Zhou Sivaramakrishnan Swaminathan Miguel Lázaro-Gredilla Kevin P. Murphy OffRL 44 1 0 26 Sep 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control Zichen Jeff Cui Hengkai Pan Aadhithya Iyer Siddhant Haldar Lerrel Pinto VGen 24 9 0 18 Sep 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 36 0 0 14 Jun 2024
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning Khimya Khetarpal Z. Guo Bernardo Avila-Pires Yunhao Tang Clare Lyle Mark Rowland N. Heess Diana Borsa A. Guez Will Dabney 29 2 0 04 Jun 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 29 0 0 29 May 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations Arushi Jain Josiah P. Hanna Doina Precup 23 1 0 13 May 2024
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs Lili Wu Ben Evans Riashat Islam Raihan Seraj Yonathan Efroni Alex Lamb 31 1 0 22 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 18 0 0 31 Mar 2024
Towards Principled Representation Learning from Videos for Reinforcement Learning Dipendra Kumar Misra Akanksha Saran Tengyang Xie Alex Lamb John Langford SSL OffRL 21 5 0 20 Mar 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference Benjamin Eysenbach Vivek Myers Ruslan Salakhutdinov Sergey Levine AI4TS 23 8 0 06 Mar 2024
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations Stefan Sylvius Wagner Stefan Harmeling 16 1 0 05 Feb 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 17 20 0 17 Jan 2024
Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments Antoine Dedieu Wolfgang Lehrach Guangyao Zhou Dileep George Miguel Lazaro-Gredilla 26 2 0 11 Jan 2024
Gradient-based Planning with World Models V. JyothirS Siddhartha Jalagam Yann LeCun Vlad Sobal 18 4 0 28 Dec 2023
Diffused Task-Agnostic Milestone Planner Mineui Hong Minjae Kang Songhwai Oh 15 6 0 06 Dec 2023
Intrinsically motivated graph exploration using network theories of human curiosity Shubhankar P. Patankar Mathieu Ouellet J. Cerviño Alejandro Ribeiro Kieran A. Murphy Danielle Bassett 13 2 0 11 Jul 2023
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning Seungyong Moon Junyoung Yeom Bumsoo Park Hyun Oh Song OffRL 14 3 0 07 Jul 2023
Active Sensing with Predictive Coding and Uncertainty Minimization A. Sharafeldin N. Imam Hannah Choi 18 2 0 02 Jul 2023
$λ$ -models: Effective Decision-Aware Reinforcement Learning with Latent Models C. Voelcker Arash Ahmadian Romina Abachi Igor Gilitschenski Amir-massoud Farahmand 38 0 0 30 Jun 2023
Curious Replay for Model-based Adaptation Isaac Kauvar Christopher Doyle Linqi Zhou Nick Haber 10 10 0 28 Jun 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Ruijie Zheng Xiyao Wang Yanchao Sun Shuang Ma Jieyu Zhao Huazhe Xu Hal Daumé Furong Huang 37 35 0 22 Jun 2023
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP Jiacheng Guo Zihao Li Huazheng Wang Mengdi Wang Zhuoran Yang Xuezhou Zhang 22 5 0 21 Jun 2023
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning Sam Lobel Akhil Bagaria G. Konidaris 19 15 0 05 Jun 2023
Video Prediction Models as Rewards for Reinforcement Learning Alejandro Escontrela Ademi Adeniji Wilson Yan Ajay Jain Xue Bin Peng Ken Goldberg Youngwoon Lee Danijar Hafner Pieter Abbeel 25 52 0 23 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 16 5 0 18 May 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling Toru Lin Allan Jabri OffRL 16 6 0 15 May 2023
Unlocking the Power of Representations in Long-term Novelty-based Exploration Alaa Saade Steven Kapturowski Daniele Calandriello Charles Blundell Pablo Sprechmann Leopoldo Sarra Oliver Groth Michal Valko Bilal Piot OffRL 18 6 0 02 May 2023
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition Yash Chandak S. Thakoor Z. Guo Yunhao Tang Rémi Munos Will Dabney Diana Borsa 8 2 0 01 May 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 31 270 0 24 Apr 2023
Accelerating exploration and representation learning with offline pre-training Bogdan Mazoure Jake Bruce Doina Precup Rob Fergus Ankit Anand OffRL 14 5 0 31 Mar 2023
Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale Botao Hao Rahul Jain Dengwang Tang Zheng Wen OffRL 13 2 0 20 Mar 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments Matej Pecháč M. Chovanec Igor Farkaš 19 3 0 22 Feb 2023
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 17 6 0 08 Feb 2023
Understanding Self-Predictive Learning for Reinforcement Learning Yunhao Tang Z. Guo Pierre Harvey Richemond Bernardo Avila-Pires Yash Chandak ... S. Thakoor Will Dabney Bilal Piot Daniele Calandriello Michal Valko SSL 19 28 0 06 Dec 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 16 5 0 18 Nov 2022
On the importance of data collection for training general goal-reaching policies Alexis Jacq Manu Orsini Gabriel Dulac-Arnold Olivier Pietquin M. Geist Olivier Bachem OffRL 19 1 0 07 Nov 2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information Riashat Islam Manan Tomar Alex Lamb Yonathan Efroni Hongyu Zang ... Dipendra Kumar Misra Xin-hui Li H. V. Seijen Rémi Tachet des Combes John Langford OffRL 17 6 0 31 Oct 2022
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient Yuda Song Yi Zhou Ayush Sekhari J. Andrew Bagnell A. Krishnamurthy Wen Sun OffRL OnRL 17 89 0 13 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 24 33 0 19 Sep 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb Riashat Islam Yonathan Efroni Aniket Didolkar Dipendra Kumar Misra Dylan J. Foster Lekan Molu Rajan Chari A. Krishnamurthy John Langford 25 24 0 17 Jul 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 11 44 0 28 Jan 2022
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration Oliver Groth Markus Wulfmeier Giulia Vezzani Vibhavari Dasagi Tim Hertweck Roland Hafner N. Heess Martin Riedmiller LRM 28 20 0 17 Sep 2021