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5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

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Latest papers 35

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  1. Neuro-Symbolic Computer Use: Learning Reusable Policies for Reliable and Efficient Execution

    Sep 29, 2026Hyewon Suh, Thanh Minh Nguyen, Chih-Lun Lee +5Neuro-Symbolic FrameworkComputer-Use Agents

    Georgia Institute of Technology · Simular · Stanford University

  2. Factorized Scheduling Principle: Learning Interpretable and Transferable Policies via Structured Additive Functions

    Sep 29, 2026Hong Je-Gal, Hyun-Suk LeeSchedulersSchedule

    Department of Artificial Intelligence and Robotics, Sejong University, South Korea · Artificial Intelligence Robotics Institute (AIRI), Sejong University, South Korea

  3. Hyper Algorithm Design Agent: Evolving Learnable Optimizer from Zero

    Sep 28, 2026Zipei Yu, Yue-Jiao Gong, Zeyuan Ma +2Agentic OptimizationBlack-Box Optimization

    South China University of Technology · South China Normal University · Singapore Management Univeristy

  4. Learning-Guided Planning in Large Dynamic Action Spaces: Budgeted Tree Search for One-to-Many Mobile Charging

    Sep 15, 2026Liang-Ching Tao, Pi-Chung WangClassical PlanningLearning Policy

    Department of Computer Science and Engineering, National Chung Hsing University · Xingda Rd., South District, Taichung 402, Taiwan

  5. Conformal Policy Learning with Distribution-Free Safety Guarantees

    Sep 15, 2026Ying Jin, Naoki EgamiLearning PolicyProbabilistic Safety

    Department of Statistics and Data Science, University of Pennsylvania · Department of Political Science & Statistics and Data Science Center, Massachusetts Institute of Technology

  6. Policy-Induced Hand Priors in Humanoid Dual-Arm Manipulation: Diagnosing and Mitigating Initial-Pose Dependence

    Aug 12, 2026Chaeyeon Jung, Juyoun ParkRobotic Manipulation PoliciesLearning Policy

    Center for Humanoid Research, Korea Institute of Science and Technology (KIST), Republic of Korea.

  7. RoboSynChallenge: Mastering Real-World Dexterity via Generalizing Synthesized Manipulation Skills

    Aug 12, 2026Runyi Zhao, Ruixin Wu, Chengkun Li +15Robotic ManipulationDexterous Manipulation

    Shenzhen Loop Area Institute (SLAI) · The Chinese University of Hong Kong, Shenzhen · DexForce +8

  8. Let it Cook: Learning to Wait in Sequential Decision Making

    Aug 11, 2026Christopher Watson, Arjun Krishna, Dinesh Jayaraman +1Sequential Decision MakingLearning Policy

    Department of Computer and Information Science, University of Pennsylvania, USA

  9. Continue or Replan? Bernoulli-Continuation Policy Learning for Adaptive Horizon Execution

    Aug 4, 2026Weichen Xu, Zhenhua Liu, Lin Luo +8Diffusion-Based Vision-Language-ActionsIterative Re-Planning

    1Peking University · 2Microsoft Research Asia

  10. Learning an Interior Layout Policy in a Domain Specific Language Action Space

    Jul 31, 2026Yuhao Lu, Weichen Zhang, Wenyi Xiao +23D Layout GenerationLayouts

    Taobao & Tmall Group of Alibaba

  11. Localized Adaptation Reveals Distinct Learning Signatures in Transformers

    Jul 28, 2026Rebecca Ramnauth, Brian ScassellatiText-Only AdaptationTransformer Architectures

    Yale University

  12. Sling2Sim2Real: One-Shot Elastic System Identification for Non-Destructive Slingshot Policy Learning

    Jul 25, 2026Wonjae Kang, Geonwoo Kim, Minseok Song +1Sim-To-Real Reinforcement LearningSim-To-Real Gap

    School of Computing, Korea Advanced Institute of Science and Technology, Korea

  13. Scale Up Strategically: Learning Compositional Generalization via Bias-Aware Evaluation and Data Collection for Robotic Manipulation

    Jul 23, 2026Yu Qi, Zhang Ye, Xinyi Xu +6Learning PolicyRobotic Manipulation

    Northeastern University · NVIDIA

  14. Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling

    Jul 20, 2026Saleh Valizadeh Sotubadi, Nazanin Mahjourian, Vinh NguyenFeature SelectionShapley Additive Explanations

    Department of Mechanical and Aerospace Engineering, Michigan Technological University, 1400 Townsend Drive, Houghton, 49931, MI, USA.

  15. Data and Learning Where it Matters for Contact-Rich Manipulation

    Jul 17, 2026Oliver Hausdörfer, Linus Schwarz, Gabor Marko +7Contact-Rich ManipulationRobotic Manipulation Policies

    1TU Munich · 2Siemens AG

  16. Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games

    Jul 1, 2026Kevin Wang, Kevin Yang, Arjun Prakash +1Imperfect-Information GamesPoker

    Brown University

  17. Learning from Mistakes: Rollout-Retrieval Lifelong Policy Learning for Autonomous Driving

    Jun 29, 2026Cheng Gong, Haoyang Wang, Chao Lu +2Autonomous DrivingLearning Policy

    School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China · School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798

  18. Efficient Adaptive Data Acquisition via Pretrained Belief Representations

    Jun 23, 2026Daolang Huang, Zhuoyue Huang, Conor Hassan +3Learning Policy

    ELLIS Institute Finland · Department of Computer Science, Aalto University, Finland · Department of Statistics, University of Oxford, UK +2

  19. Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control

    Jun 22, 2026Zihao Guo, Jianing Zhao, Ling Li +3Multi-Agent Reinforcement LearningSafety Constraints

    1King’s College London · University of California, Berkeley · 3The Alan Turing Institute

  20. SQLConductor: Search-to-Policy Learning for Step-wise Text-to-SQL Orchestration

    Jun 22, 2026Yizhang Zhu, Zhangyang Peng, Boyan Li +1Text-To-SqlQueries

    HKUST(GZ) Guangzhou, China

  21. Overcoming Imperfect Kinematics in Surgical Robotics Through Sim-to-Real Visuomotor Learning

    Jun 19, 2026Zhaoxuan Yan, Kaizhong Deng, Zhaoyang Jacopo Hu +2Surgical RobotsVisual Servoing

    Hamlyn Centre for Robotic Surgery, Institute of Global Health Innovation, Imperial College London, Exhibition Road, London, SW7 2AZ, UK. · Department of Surgery and Cancer, Imperial College London. · Department of Mechanical Engineering, Imperial College London.

  22. Learning Policy from a Single Trajectory in Average-Reward Markov Decision Process

    Jun 15, 2026Jongmin Lee, Ernest K. Ryu, Vaneet AggarwalMarkov Decision ProcessesModel-Free

    Seoul National University · UCLA · Purdue University

  23. Adversarial Vulnerabilities of Learned Telesurgery Policies

    Jun 10, 2026Shutong Jin, Ziyang Chen, Preethi Satish +3Surgical RobotsLearning Policy

    University of California, Berkeley · KTH Royal Institute of Technology

  24. Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning

    Jun 9, 2026Thanh Nguyen, Tri Ton, Hongbin Choe +2Diffusion-Based Reinforcement Learning MethodsFlow Policies

    Department of Electrical Engineering, KAIST, Daejeon, Korea.

  25. Learning to Assign Prediction Tasks to Agents with Capacity Constraints

    May 27, 2026Shang Wu, Saatvik Kher, Padhraic SmythLearning PolicyArtificial Intelligence Agents

    Department of Computer Science University of California, Irvine Irvine, CA 92697, USA

  26. Set-Valued Policy Learning

    May 19, 2026Laura Fuentes-Vicente, Mathieu Even, Gaëlle Dormion +3Treatment AllocationLearning Policy

    Inria PreMeDICaL, Inserm, Montpellier, France · Elixir Health, Paris, France · Université Paris Cité, CNRS, MAP5, F-75006 Paris, France +1

  27. Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning

    May 18, 2026Michael Aichmüller, Simon Ståhlberg, Martin Funkquist +1Classical PlanningLearning Policy

    RWTH Aachen University · Linköping University

  28. gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods

    May 12, 2026Reza Barati, Qinmin Vivian HuInventory ControlLearning Policy

    Department of Computer Science Toronto Metropolitan University, Toronto, ON, Canada

  29. Kintsugi: Learning Policies by Repairing Executable Knowledge Bases

    May 10, 2026Teng Cao, Yu Deng, Hikaru Shindo +6Embodied AgentsLearning Policy

    Artificial Intelligence and Machine Learning Lab, Technical University of Darmstadt, Germany · Hessian Center for Artificial Intelligence (hessian.AI), Germany · Department of Computer Science, Technical University of Darmstadt, Germany +6

  30. Learning and Reusing Policy Decompositions for Hierarchical Generalized Planning with LLM Agents

    May 7, 2026Shirin Sohrabi, Haritha Ananthakrishnan, Harsha Kokel +2Large Language Model PlanningClassical Planning

    IBM

  31. Model-Based Proactive Cost Generation for Learning Safe Policies Offline with Limited Violation Data

    May 2, 2026Ruiqi Xue, Lei Yuan, Kainuo Cheng +2Safety ConstraintsLearning Policy

    National Key Laboratory for Novel Software Technology, Nanjing University · School of Artificial Intelligence, Nanjing University · Polixir Technologies +2

  32. Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning

    Apr 30, 2026Shijin Gong, Kai Ye, Jin Zhu +3Large Language Model Reinforcement LearningLLM Reasoning Strategies

    School of Management, University of Science and Technology of China · Department of Statistics, London School of Economics and Political Science · School of Mathematics, University of Birmingham +2

  33. VLANeXt: Recipes for Building Strong VLA Models

    Feb 20, 2026Xiao-Ming Wu, Bin Fan, Kang Liao +6Vision-Language-Action FrameworkLearning Policy

    1S-Lab, Nanyang Technological University · 2ACE Robotics · 3Sun Yat-sen University +2

  34. Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation

    Oct 9, 2025Zhenyu Zhao, Hongyi Jing, Xiawei Liu +7Large-Scale Robot Demonstration DatasetsHumanoid

    University of Southern California · Toyota Research Institute

  35. Sample Complexity of Linear Quadratic Regulator Without Initial Stability

    Feb 20, 2025Amirreza Neshaei Moghaddam, Alex Olshevsky, Bahman GharesifardLinear Quadratic RegulatorQ-Learning