State Representation Learning

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13 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Neuromotor Hierarchy Network: Physiological Inductive Biases for Robust Generalization in sEMG Decoding

    Oct 6, 2026He Wang, Hongyuan Qi, Zhaoxian Zhang +4Neural DecodingState Representation Learning

    National University of Singapore

  2. Block Disentanglement in CRL: Bridging Identifiability and Visual State Estimation

    Oct 5, 2026Emre Acartürk, Pranamya Kulkarni, Puranjay Datta +3Causal Representation LearningCausal Identifiability

    Rensselaer Polytechnic Institute Troy, NY, USA · Swiss AI, EPFL Lausanne, Switzerland · University of Delaware Newark, DE, USA

  3. Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization

    Oct 1, 2026Parthiv Chatterjee, Kashish Kanjaria, Vashisth Purani +2User ModelingState Tracking

    KDM Lab, Dhirubhai Ambani University · Dhirubhai Ambani University · LCS2 Lab, Indian Institute of Technology Delhi

  4. Learning Transferable Skills using Goal-Conditioned Bisimulation

    Sep 30, 2026Mohammad Amin Abbasfar, Farbod Azimmohseni, Mohammad Hossein RohbanAgent Skill LearningTrajectory Representation Learning

    Department of Computer Engineering Sharif University of Technology

  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. Learning Continuous Neural Representation of Stochastic Hybrid Systems

    Sep 30, 2026Sangli Teng, Hang Liu, Koushil SreenathDynamical SystemsStochastic Differential Equations

  7. Abductive World Modeling via Causal Representation Learning

    Sep 29, 2026Ziqi Liu, Songhan Yang, Linfan Zhou +4Causal Representation LearningAbductive Reasoning

    BAIZ Team

  8. Retracing Hodgkin and Huxley: State Recovery Does Not Certify Mechanism

    Sep 28, 2026Peiyu Zang, Jiayi Hao, Yongqiang CaiDynamical SystemsLatent Dynamics Modeling

    School of Mathematical Sciences, Beijing Normal University

  9. Hamiltonian JEPA: Action-Conditioned World Models with an Inherited Control State

    Sep 27, 2026Tamim Zoabi, Ameen Ali, Lior WolfJoint-Embedding Predictive ArchitectureModel-Based Planning

    The Blavatnik School of Computer Science, Tel Aviv University

  10. Decision-Sufficient State Representations: Measuring and Reducing Write-Time Regret

    Sep 26, 2026Bingyu Shen, Boyang LiState TrackingState Representation Learning

    Independent Researcher · Department of Computer Science and Technology Kean University, Union, NJ, USA

  11. Prediction Limits and Koopman Closure of Geometry-Induced Soft State Abstractions

    Sep 26, 2026Mohit Kumar, Somayeh KargaranKoopman Operator LearningState Abstraction

    Software Competence Center Hagenberg, Hagenberg, Upper Austria, Austria

  12. Tracking States or Tracking Cosets? An Algebraic Account of Learned State Tracking

    Sep 24, 2026Zhiyu Zhang, Yupeng LiTransformerRecurrent Neural Networks

    Conflux Labs Ltd · Michigan State University

  13. Representation World Model: Learning States, Transition and Executable Plans in Representation

    Sep 24, 2026Yijun Yuan, Weicheng Zheng, Weibang Wang +7World Models for RoboticsWorld Model-Based Planning

    IIIS, Tsinghua University

  14. Minimal Recurrent Behavioral Memory for Imitation under Partial Observability

    Sep 22, 2026Xianyao Li, Fang Xu, Rui Min +2Partially Observable RLImitation Learning

  15. Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries

    Sep 14, 2026Ben Opperman, Eduardo Alonso, Esther MondragónReinforcement LearningState Representation Learning

    CitAI, AI Research Centre, City St George’s, University of London, London, United Kingdom

  16. Predictive Allostatic Organization in Recurrent and Spiking Agents Under Partial Observability

    Aug 11, 2026Frederick HayesPartially Observable RLRecurrent Neural Networks

    Independent Researcher San Antonio, Texas, USA

  17. Mitigating Bus Bunching with Reinforcement Learning Enhanced by Semantic Stop Embedding

    Aug 10, 2026Xin Dong, Vikash V. GayahRL ControlLLM-Guided RL

    Department of Civil and Environmental Engineering, The Pennsylvania State University University Park, PA, 16803

  18. Is Forward Prediction Enough? Physical State Grounding for JEPA World Models

    Aug 7, 2026Haodong Yan, Jiaguan Zhu, Mingyuan Jia +12Physical ReasoningWorld Models for Robotics

    1The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China · 2COCO Matrix

  19. 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

  20. PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models

    Aug 6, 2026Xi Zeng, Haojie Ren, Ziying Song +2Representation LearningWorld Model Learning

    School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore · The University of Sheffield, Sheffield, United Kingdom · School of Artificial Intelligence (School of Software), Yanshan University, Qinhuangdao, China

  21. PLAN: Parallel Liquid-Inspired Approximation Network for Efficient Representation Learning in Flexible Job Shop Scheduling

    Aug 4, 2026Dhivya Dharshini Kannan, Wei Zhang, Jieyi Bi +5Efficient Neural Network InferenceLiquid Neural Networks

    Singapore Institute of Technology (SIT) · Nanyang Technological University (NTU) · Shanghai Jiao Tong University +1

  22. RoMeRL: Balancing Feedback Coverage and the Memory-Reward Trap in Self-Evolving Agent Memory via Reduced-Order Utility States

    Aug 3, 2026Yi Yang, Zhennan Chen, Yihong Zhuang +5State AbstractionState Representation Learning

    1Nanjing University · 2Xiamen University · 3Zhejiang University

  23. Self-Certification of Representation Adequacy: Sequential Certification at Minimum Task Loss

    Aug 3, 2026Zijie HuangState Representation LearningStatistical Learning Theory

    Independent Researcher

  24. One Future, Every Robot: Label-Efficient Collective-State Prediction with Decentralized JEPA

    Jul 30, 2026Alan-Barsag Gazzaev, Alexey Gavrilov, Sergey MuravyovMulti-Robot SystemsJoint-Embedding Predictive Architecture

    ITMO University, Saint Petersburg, Russia.

  25. Minimal Markovization via Stable Quotients in Holonomy-Cover Decision Processes

    Jul 29, 2026Zuyuan Zhang, Yongshan Chen, Mahdi Imani +1Markov Decision ProcessesPartially Observable RL

    Department of Electrical and Computer Engineering, The George Washington University · Department of Electrical and Computer Engineering, Northeastern University

  26. Emergent Latent-State Computation under Stochastic Volatility

    Jul 28, 2026Xiaoyu Huang, Lulu WangTransformer InterpretabilityMechanistic Interpretability

    Department of Mathematics Temple University Philadelphia, PA, USA · Department of Data Analytics Dickinson College Carlisle, PA, USA

  27. Scaling GUI Agents with Visual State Transitions

    Jul 27, 2026Xiangyan Liu, Kaixin Li, Haonan Wang +6World ModelsGUI Agents

    NUS · UTS · University of Liverpool +1

  28. On the Identifiability of Controlled World Models

    Jul 24, 2026Xiangteng Zhang, Yang Guan, Bo Zhang +3Parameter IdentifiabilityLatent Dynamics Modeling

    School of Vehicle and Mobility, Tsinghua University · 2Didi Voyager Labs, Didi Autonomous Driving · School of Computing and Data Science, The University of Hong Kong +2

  29. Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States

    Jul 20, 2026Armin SommerReinforcement LearningModel-Free RL

    ETH Zurich, Switzerland

  30. PAMD: Structured Adaptive Distances for Bisimulation Representations in Visual Reinforcement Learning

    Jul 20, 2026Daegyeong Roh, Juho Bae, Han-Lim ChoiMahalanobis DistanceMetric Learning

    Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejon, Republic of Korea.