Representation Learning for RL

RL: Reinforcement Learning

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7 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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  1. Q-Shaped Options for Hierarchical Reinforcement Learning

    Oct 8, 2026Clarisse Wibault, Antoine Gorceix, Antonio Léon Villares +5Hierarchical RLRepresentation Learning for RL

    University of Oxford

  2. FOCUS: From Privileged States to RGB-D with Controlled Modality Switching and Representation Alignment

    Oct 8, 2026Filip Grigorov, Kourosh Darvish, Nandita VijaykumarRobotic RLVisual RL

    University of Toronto Canada

  3. Taylor Representations for Model-Free RL in Networked MDPs

    Oct 4, 2026Salah Chikhi, Abdelhaq Chaoui, Asuman Ozdaglar +1Markov Decision ProcessesRepresentation Learning for RL

    Massachusetts Institute of Technology

  4. eRLT: Efficient VLA Reinforcement Learning via Action-Relevant Token Routing

    Oct 1, 2026Dehao Huang, Jianbang Liu, Jianpan Gao +7Efficient VLA ModelsRobotic Manipulation

    Southern University of Science and Technology, Shenzhen, China. · Beijing Zhongguancun Academy, Beijing, China. · Samsung Robotics eXperience. +2

  5. Do Better Goal Representations Improve Goal-Conditioned Reinforcement Learning?

    Sep 30, 2026Syed Nazmus Sakib, Abdul Monaf Chowdhury, Nafiul Haque +2Offline RLRepresentation Learning for RL

    Department of Robotics and Mechatronics Engineering, University of Dhaka, Bangladesh · Department of Computer Science, University of Oxford, UK

  6. Reinforcement Learning with Complex (valued) Memories

    Sep 29, 2026Sathya Kamesh Bhethanabhotla, Efstratios Gavves, André BiedenkappPartially Observable RLRecurrent Neural Networks

    University of Freiburg

  7. State Trace Rationale As Auxiliary Task in Reinforcement Learning

    Sep 29, 2026Muhammad U. Nasir, Alex Vogt, Steven D. James +1Reinforcement LearningRepresentation Learning for RL

    University of the Witwatersrand Johannesburg, South Africa · New York University New York, USA

  8. Bilinear World Models: Learning Representations with Structured Dynamics for Efficient Control

    Sep 28, 2026Antonio Pariente, Ignacio Boero, Nikolai Matni +1Dynamical SystemsWorld Model Learning

    University of Pennsylvania

  9. MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling

    Sep 14, 2026Tiangang Li, Shi Ying, Xiangbo Tian +2Cross-AttentionCloud Computing

    School of Computer Science, Wuhan University, Wuhan 430072, China · School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

  10. Three Steps at a Time: Learning Representations from Action Sequences in Contrastive RL

    Aug 31, 2026Michal Korniak, Kamil Dybek, Benjamin Eysenbach +2Reinforcement LearningOffline RL

    ETH Zurich · University of Warsaw · Princeton University +3

  11. Flowing Through States: Neural ODE Regularization for Reinforcement Learning

    Aug 6, 2026Mohamed Ghanem, Bernd FinkbeinerLatent Dynamics ModelingRepresentation Learning for RL

    CISPA Helmholtz Center for Information Security · Technical University of Munich

  12. ProDVI: Programmatic Dynamics Priors for Value Network Initialization

    Aug 6, 2026Xinwei Liu, Junyuan Liang, Jianting Zhang +1Reinforcement LearningLLM-Guided RL

    1Sun Yat-sen University · 2Purdue University

  13. Reinformed Dreamer: An Asymmetric World Model Efficiently Trained through Latent Guidance

    Jul 28, 2026Gaspard Lambrechts, Adrien Bolland, Daniel Ebi +1Reinforcement LearningWorld Models

    1McGill University, Canada · 3Université de Liège, Belgium · 4Karlsruhe Institute of Technology, Germany

  14. Factorized Spectral Representations for Reinforcement Learning

    Jul 15, 2026Junyi Wu, Dan LiTensor DecompositionRepresentation Learning for RL

    Department of Industrial and Systems Engineering University of Washington Seattle, WA, USA

  15. Vision-Based Dribbling for Humanoid Soccer via Privileged Representation Learning

    Jul 14, 2026Flavio Maiorana, Valerio Spagnoli, Eugenio Bugli +5RL for RoboticsReinforcement Learning

    Dept. of Computer, Control, and Management Engineering Sapienza University of Rome, Rome (Italy) · Institut de Robòtica i Informàtica Industrial (CSIC-UPC), C/ Llorens i Artigas 4-6, 08028, Barcelona, Spain · École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

  16. From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training

    Jul 1, 2026Jinwen Wang, Youfang Lin, Xiaobo Hu +4Contrastive LearningReinforcement Learning

    School of Computer Science & Technology, Beijing Jiaotong University, Beijing, China · Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence, Beijing Jiaotong University, Beijing, China · Beijing Jiaotong University, Beijing, China

  17. Task-Relevant Representation Decoupling for Visual Reinforcement Learning Generalization

    Jul 1, 2026Jinwen Wang, Youfang Lin, Xiaobo Hu +4Representation LearningRepresentation Learning for RL

    Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence, School of Computer Science & Technology, Beijing Jiaotong University, China · CSSC Intelligent Innovation Research Institute, China and Zhejiang University, China

  18. Learning to Adapt: Representation-Based Reinforcement Learning for Multi-Task Skill Transfer

    Jun 11, 2026Aryan Naveen, Haitong Ma, Haldun Balim +1RL for RoboticsReinforcement Learning

    Massachusetts Institute of Technology · Harvard School of Engineering and Applied Sciences

  19. Representation Learning Enables Scalable Multitask Deep Reinforcement Learning

    Jun 4, 2026Johan Obando-Ceron, Lu Li, Scott Fujimoto +3Reinforcement LearningRepresentation Learning for RL

    Mila – Québec AI Institute · Université de Montréal · McGill University +2

  20. ConTraIRL: Factorized Contrastive Abstractions for Transferable IRL

    Jun 2, 2026Yikang Gui, Bikramjit Banerjee, Prashant DoshiDisentangled Representation LearningReinforcement Learning

    School of Computing, University of Georgia · School of Computing Sciences & Computer Engineering, The University of Southern Mississippi

  21. The Terminal Representation in Reinforcement Learning

    May 29, 2026Amir Esterhuysen, Anders JonssonRepresentation Learning for RLTrajectory Representation Learning

    Dept. Information and Communication Technologies Universitat Pompeu Fabra Barcelona, Spain

  22. Learning to Perceive the World Through Control: Empowerment-Based Representation Learning

    May 28, 2026Mahsa Bastankhah, Sophie Broderick, Benjamin EysenbachRepresentation LearningReinforcement Learning

    Princeton University, USA

  23. Exploiting Local Dynamics Regularity for Reusable Skills in Offline Hierarchical RL

    May 25, 2026Sarthak Dayal, Abhinav Peri, Carl Qi +4Hierarchical RLOffline RL

    Department of Computer Science University of Texas at Austin · UT Austin · OpenAI

  24. Learning in Low-Dimensional Subspaces: Orthogonal Bottlenecks for Reinforcement Learning

    May 25, 2026Aleksandar Todorov, Matthia SabatelliRepresentation LearningReinforcement Learning

    University of Groningen, Groningen, The Netherlands

  25. Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning

    May 25, 2026Hyungkyu Kang, Byeongchan Kim, Min-hwan OhReinforcement LearningOffline RL

    Seoul National University, Seoul, South Korea.

  26. Self-supervised Hierarchical Visual Reasoning with World Model

    May 17, 2026Yuanfei Xu, Lin Liu, Wengang Zhou +2World Model LearningWorld Models

    Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China

  27. R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning

    May 13, 2026Sanghyeob Song, Donghyeok Lee, Jinsik Kim +1Reinforcement LearningSelf-Supervised Learning

    Interdisciplinary Program in Artificial Intelligence, Seoul National University · Samsung Electro-Mechanics, Republic of Korea · Department of Electrical and Computer Engineering, Seoul National University

  28. JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning

    May 13, 2026Jing Yu Lim, Rushi Shah, Zarif Ikram +4World Model LearningJoint-Embedding Predictive Architecture

    National University of Singapore · usc

  29. Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning

    Mar 3, 2026Mohammadreza Nakheai, Aidan Scannell, Kevin Luck +1Representation LearningOffline RL

    Aalto University · Toyota Research Institute · Vrije Universiteit Amsterdam

  30. Can We Really Learn One Representation to Optimize All Rewards?

    Feb 11, 2026Chongyi Zheng, Royina Karegoudra Jayanth, Benjamin EysenbachUnsupervised LearningRepresentation Learning

    Princeton University