Exploration

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38 papers in the last four weeks, up 375% on the four weeks before. 0.4% of all new papers.

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  1. When Do Intrinsic Rewards Lead to Exploration?

    Oct 1, 2026Scott W. Viteri, Laura Gomezjurado Gonzalez, Clark BarrettStochastic ExplorationExploration

    Stanford University

  2. Extreme Length Generalization in a Compact Recurrent Architecture for One-Shot Exploration

    Oct 1, 2026Izen Thornton, Aaron Shey, William SuRecurrent Neural NetworksMobile Robots

    FRANK Autonomous Systems Inc., frankautonomous.com · University of California, Berkeley

  3. GPU-Accelerated Path-Dependent Marginal Information Gain for Autonomous Exploration

    Sep 30, 2026João Félix Mendes, Rodrigo Ventura, Meysam BasiriExplorationVoxel

    Institute for Systems and Robotics, Department of Electrical and Computer Engineering, Instituto Superior Técnico, Lisboa, Portugal

  4. Centralized Multi-UAV Exploration and 3D Reconstruction Using Single-UAV Planners

    Sep 30, 2026João Félix Mendes, Meysam Basiri, Rodrigo VenturaMulti-UavUnmanned Aerial Vehicles

    Institute for Systems and Robotics, Department of Electrical and Computer Engineering, Instituto Superior Técnico, Lisboa, Portugal

  5. Towards Better Exploration in Sequential Test-Time Scaling

    Sep 30, 2026Joseph Rance, Fabio Pizzati, Juil Sock +4Test-Time ScalingSequential Scaling

    University of Oxford · MBZUAI · BBC R&D

  6. ExploreNet: Learning Where to Explore in Diffusion GRPO

    Sep 29, 2026Shuyue Stella Li, Xiaochuang Han, Yulia Tsvetkov +1Diffusion-Based Reinforcement Learning MethodsDiffusion Models

    University of Washington

  7. MUGEN: Interactive Panoramic World Exploration via Camera Control

    Sep 29, 2026Jiaming Tan, Zhen Li, Shuwei Shi +6Omnidirectional ImagesCamera Control

    Alaya Lab · Beijing Institute of Technology · Shanghai Innovation Institute

  8. All Roads Lead to Rome: Flow-driven Multi-Anchor Exploration for Open-Environment Active 3D Mapping

    Sep 29, 2026Yang Li, Aming Wu, Zihao Zhang +33D MappingViewpoint-Dependent Active Perception

    School of Artificial Intelligence, Tianjin University, China · School of Computer Science and Information Engineering, Hefei University of Technology, China

  9. Human-inspired, Task-Dimension-Guided Exploration for Efficient Learning in High Dimensions

    Sep 29, 2026Fanyu Zhu, Jiahui An, Ni JiEfficient ExplorationExploration

    Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Chinese Institute for Brain Research, Beijing, Beijing Key Laboratory of Brain Science and Brain-Machine Interface · State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University

  10. Going Beyond State-Reaching: Learning Abstractions for Intrinsically Motivated Option Discovery

    Sep 29, 2026Akhil Bagaria, Anita De Mello Koch, George KonidarisExplorationState Space

    Brown University

  11. Deep Epistemic Value Functions for Optimistic Exploration

    Sep 28, 2026Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter +1Stochastic ExplorationValue Functions

    ETH Zürich, Switzerland · Max Planck Institute for Intelligent Systems, Germany

  12. Terrain-Aware Autonomous Planetary Exploration for Exteroceptive-Proprioceptive Mapping with Quadruped Scouts

    Sep 28, 2026Alberto Sanchez-Delgado, João Carlos Virgolino Soares, Victor Barasuol +1Planetary ExplorationProprioception

    Dynamic Legged Systems lab (DLS), Istituto Italiano di Tecnologia (IIT), Genoa, Italy

  13. TIDE: Teacher-Student Transition via Informative Distillation and Exploration for Agentic RL

    Sep 28, 2026Yibin Huang, Xinming Xu, Conghui ZhuAgentic Reinforcement LearningTeacher

    Faculty of Computing, Harbin Institute of Technology · Tsinghua University

  14. SOR-Nav: Search or Relocate? Context-Gated Exploration and Cross-Region Relocation for Object Navigation

    Sep 28, 2026Yuan Ji, Zirui Li, Yuxin Cai +3Object Goal NavigationNavigation

    School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore · Schaeffler Hub for Advance REsearch(SHARE) at NTU, Singapore

  15. ICMAPE: In-Context Multiagent Pure Exploration

    Sep 27, 2026Xinyi Hu, Alessio Russo, Aldo PacchianoMulti-Agent PlanningStochastic Exploration

    Boston University · Broad Institute of MIT and Harvard

  16. Future Information-Directed Sampling for Bayesian Nonstationary Bandits

    Sep 27, 2026Yichen Song, Alessio Russo, Aldo PacchianoBanditsStochastic Exploration

    Boston University · Broad Institute of MIT and Harvard

  17. Surprising Success, Repeated Failure: Entropy-Guided Credit Assignment for Exploration in LLM Reasoning

    Sep 27, 2026Woongyeong Yeo, Minki Kang, Chanuk Lee +3LLM Reasoning StrategiesCredit Assignment

    KAIST

  18. TGRL: Temperature-Grouped Reinforcement Learning for Efficient Exploration in LLMs

    Sep 27, 2026Zihan Lin, Xiaohan Wang, Jie Cao +4Large Language Model Reinforcement LearningGroup-Based Reinforcement Learning

    University of Chinese Academy of Sciences · Meituan · MAIS&NLPR, Institute of Automation, Chinese Academy of Sciences

  19. ExplorationBench: Measuring AI Systems' Exploration in Verifiable Alien Worlds

    Sep 24, 2026Ming Zhang, Zhenghao Xiang, Peizhong Gao +17Artificial Intelligence BenchmarksExploration

    Fudan University

  20. AlphaDiverse: Post-Training Local Quantitative Research Agents for Diverse Exploration in Alpha Factor Mining

    Sep 24, 2026Qingzhuo Wang, Zikun Wei, Zhihua Wei +1Stochastic ExplorationDiversity

    Tongji University · Shanghai Non-convex Intelligent Technology

  21. Anchor and Perturb: Lazy Agent Remediation by Exploration Injection

    Sep 23, 2026Chengxi Zhong, Yongzhe ChangMulti-Agent CoordinationExploration

  22. Hierarchical Floorplan-Guided Vision-Language Exploration for Embodied Question Answering

    Sep 22, 2026Albert Gassol Puigjaner, Kostas AlexisVision-Language NavigationKnowledge-Based Visual Question Answering

    Autonomous Robots Lab, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

  23. Video-HopChain: Multi-Hop Questions and Confidence-Gated Exploration for Video Reasoning Models

    Sep 22, 2026Trung Nguyen Quang, Yuhao Dong, Shuo Sun +4Multi-Hop ReasoningExploration

    S-Lab, Nanyang Technological University (NTU) · Johns Hopkins University · NTU

  24. Efficient Reasoning Exploration via State-Conditioned Latent Steering with Progress Guidance

    Sep 21, 2026Hengyuan Zhang, Chenming Shang, Zunhai Su +10Reasoning PathsEfficient Exploration

    The University of Hong Kong · University of California, Los Angeles · Arizona State University +3

  25. WOLF: World Model Guided LiDAR Exploration with Predictive Frontiers

    Sep 20, 2026Yuyang Tian, Penghui Yang, Pengyuan Wu +7Aerial Vision-Language NavigationLatent World Models

    University of Science and Technology of China, Hefei, China. · Shanghai Artificial Intelligence Laboratory, Shanghai, China. · East China University of Science and Technology, Shanghai, China. +3

  26. Exact Fusion and Coordinated Exploration in Multi-Robot Active Inference

    Sep 15, 2026Peng Wu, Mohsen Imani, Amidu Kamara +3Multi-Robot SystemsExploration

    Northeastern University, Boston, MA, USA. · University of California, Irvine, CA, USA. · U.S. Department of Homeland Security, Washington, DC, USA. +1

  27. RSIAgent: Autonomous Exploration for Recursive Self-improvement in New Environments

    Sep 14, 2026Sibo Zhu, Shicheng Fan, Xinyue Wang +3Self-Improving AgentsMixture-Of-Agents

    Aether AI · University of California San Diego · ‡Work done during internship in Aether AI +1

  28. Generate to Explore, Select to Exploit: Aligning LLM-based Headline Generation with Personalized Recommendation

    Sep 14, 2026Yi Chen, Rufeng Cheng, Qiang Xie +1Sequential RecommendationRecommendation Quality

    Baidu Inc., Beijing, China

  29. Enabling Creative Exploration for Vibe Design Agents

    Sep 14, 2026Yifan Zhang, Nghi D. Q. Bui, Georgios Evangelopoulos +1Interaction DesignVibe Coding

    Google

  30. Communication-Constrained Multi-Robot Exploration With Adaptive Communication Windows

    Sep 14, 2026Ben Rossano, Jaein Lim, Jonathan P. HowMulti-Robot SystemsEfficient Exploration

    Aerospace Controls Lab, Massachusetts Institute of Technology, Cambridge, MA, USA · Draper Scholar with the Charles Stark Draper Laboratory, Cambridge, MA · Charles Stark Draper Laboratory, Cambridge, MA, USA

  31. Optimizing for the decision not the prediction: an exploration of Smooth Net Benefit as a training objective

    Sep 14, 2026Koen M. F. Gorgels, Lasai Barreñada, Maarten van Smeden +3Logistic RegressionClinical Prediction

    Department of Data Science and Biostatistics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands · Coo peratie VGZ, Arnhem, the Netherlands · Department of Development and Regeneration, KU Leuven, Leuven, Belgium

  32. When Information is Worth the Risk: Behavioral Valuation for Hazardous Robotic Exploration

    Sep 11, 2026Alkesh K. Srivastava, Aamodh Suresh, Carlos Nieto-Granda +1RiskExploration

    Department of Mechanical Engineering, Temple University, Philadelphia, PA 19122, USA · U.S. DEVCOM Army Research Laboratory, Adelphi, MD 20783, USA · Lobster Robotics, The Hague, South Holland, Netherlands

  33. Valerant: An Automatic Navigable Game Map Generator via Action-Conditioned World Model Exploration

    Sep 8, 2026Yiran Qiao, Feng Wang, Jing Ma3D World3D Mapping

    Case Western Reserve University · Johns Hopkins University

  34. Application of curiosity driven exploration methods for hardware interference identification

    Sep 8, 2026Ludovic Matar, Clement Moulin-Frier, Pierre-Yves OudeyerInterferenceHardware Efficiency

    1Flowers AI & CogSci Lab - National Institute for Research in Digital Science and Technology, Bordeaux, France

  35. SUN: Reaching for Novelty in Reinforcement Learning

    Sep 8, 2026Wenyan Yang, Arsenii Mustafin, Dominik Baumann +2Goal-Conditioned Reinforcement LearningExploration

    Aalto University · Tampere University

  36. TASG-Explore: Traversability-Aware Sector-Guided Exploration for Ground Robot on Uneven Terrain

    Sep 8, 2026Shaocong Wang, Shiliang Shao, Ting Wang +2TraversabilityTerrain

    State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China · University of Chinese Academy of Sciences, Beijing 101408, China · Key Laboratory of Maritime Intelligent Network Information Technology, Ministry of Education, Hohai University, Nanjing 210098, China

  37. Agentic ML Exploration (A-MLE) for Ads Ranking

    Sep 8, 2026Erwin Gao, Vinodh Kumar Sunkara, Jingyi Guan +36AdsAgentic

    Meta Platforms, Inc. Menlo Park and New York, USA

  38. OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining

    Sep 7, 2026Yuran Wang, Siqiao Huang, Mingleyang Li +21Faster-WamWorld Models

    National University of Singapore · Tsinghua University · Peking University +4

  39. Explore Before Committing: Hypothesis-Guided Search for Deep Research Agents

    Sep 1, 2026Ruochen Zhou, Zhengyu Chen, Luan Zhang +3Search AgentsDeepseek

    City University of Hong Kong · Meituan · Independent +1

  40. Towards Generalizable Visually Grounded Exploration of Household Devices

    Sep 1, 2026Linhao Zheng, Zeming Liu, Wangke Chen +4Embodied AgentsWeak Visual Grounding

    School of Computer Science and Technology, Beijing Institute of Technology · School of Computer Science and Engineering, Beihang University · Research Center for Social Computing and Interactive Robotics, Harbin Institute of Technology

  41. TSExplorer: An interactive data annotation and exploration tool for time-series data

    Aug 31, 2026Einari Vaaras, Manu Airaksinen, Okko RäsänenVisual AnalyticsTime Series

    Signal Processing Research Centre, Tampere University, Finland · BABA Center, Department of Physiology, University of Helsinki, Finland

  42. Answer Probing-Guided Search for Diverse Solution Exploration of LLMs

    Aug 31, 2026Yi Fang, Que Shen, Chengpeng Li +6LLM Reasoning StrategiesReasoning Paths

    University of Science and Technology of China · Zhongguancun Academy · Alibaba Group +2

  43. Training AI Scientists to Replicate Research

    Aug 13, 2026Damon Falck, Samer Sabri, Anja Surina +8Artificial Intelligence ScientistsArtificial Intelligence Agents

    1Inherent

  44. Scalable Multi-Agent Maze Traversal with Local Communication

    Aug 12, 2026Julian Rau, Jahir Argote-Gerald, Grace McFassel +3Multi-Agent Path FindingMaze Task

    Department of Computer Science, Technical University of Darmstadt, Germany · School of Electrical and Electronic Engineering, The University of Sheffield, UK · Bristol Robotics Laboratory, University of Bristol, Bristol, UK

  45. Parameter Exploration for RLVR via Variational Learning

    Aug 10, 2026Vatsal Venkatkrishna, Nico Daheim, Iryna GurevychLarge Language Model Reinforcement LearningReinforcement Learning With Verifiable Reward

    INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria · Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science, Technical University of Darmstadt and National Research Center for Applied Cybersecurity ATHENE, Germany

  46. Sekai2: From World Exploration to Interactive World Modeling

    Aug 10, 2026Kang He, Wenshuo Peng, Zihui Gao +3Video World ModelsVideo Dataset

    1Alaya Lab · 2Shanghai Innovation Institute · 3Wuhan University +1

  47. Explore, Map, Remember, Decide: Are Embodied VLMs Ready for Safety-Critical Scenarios?

    Aug 8, 2026Gabriele La Malfa, Nitay Alon, Emanuele La Malfa +2Recent Vision-Language ModelsSpatial Reasoning

    King’s College London, UK · Massachusetts Institute of Technology, USA · University of Oxford, UK +2

  48. SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation

    Aug 6, 2026Yuru Feng, Yaoqi Chen, Beidi Zhao +7Self-Evolving Skill LibrariesSkills

    Microsoft · University of California, San Diego · University of Science and Technology of China +1

  49. ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration

    Aug 5, 2026Osei Brempong, Mohammed Ayman Habib, Vivan Poddar +1Analog DesignMulti-Objective Reinforcement Learning

    University of Utah, Salt Lake City, UT, USA

  50. Continuous Improvement and Parallel Autonomous Exploration: An LLM-Agent Framework for Searching Large Solution Spaces

    Aug 5, 2026Dulmini Hettiarachchi, Andre Rusli, Julio Christian Young +1Large Language Model AgentsExploration

    Mercari, Inc. Japan

  51. Instruction-Conditioned Exploration for Reinforcement Learning with Self-Distillation to an Unconditioned Policy

    Aug 3, 2026Jim Dilkes, Vahid Yazdanpanah, Sebastian SteinLarge Language Model Reinforcement LearningUnsupervised On-Policy Self-Distillation

    University of Southampton Southampton United Kingdom

  52. Explore Beyond the Boundary Using Entropic Information

    Jul 31, 2026Bumgeun Park, Donghwan LeeExplorationEntropy

    Korea Advanced Institute of Science and Technology, Daejeon 34051, Korea

  53. Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning

    Jul 28, 2026Yu Su, Nabil AoufMulti-UavMulti-Agent Reinforcement Learning

    School of Science and Technology, City St George’s University of London, London, United Kingdom

  54. Decentralized Scalable Exploration via Emergent Adaptive Lévy Walks on Minimal-Sensing Platforms

    Jul 28, 2026Wai Lun Leong, Teo Swee Huat RodneyMulti-UavUnmanned Aerial Vehicles

    National University of Singapore, Singapore

  55. WARL: Wrench-Augmented Reinforcement Learning for Task-Agnostic Learning in Legged Robots

    Jul 27, 2026Keita Yoneda, Kento Kawaharazuka, Kei OkadaScalable Robot LearningLegged Robots

    Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan. · AI Center, Graduate School of Information Science and Technology, The University of Tokyo, Japan.

  56. Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization

    Jul 26, 2026Haizhou Ge, Haochen Ouyang, Zhixing Chen +6Episodic MemoryExploration

    1Tsinghua University. · 3Northeast Agricultural University. · 2DISCOVER Robotics.

  57. Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule

    Jul 25, 2026Mauricio A. Valle, Gonzalo A. RuzBoltzmann DistributionsModern Deep Networks

    Faculty of Engineering and Sciences Universidad Adolfo Ibáñez Millennium Nucleus for Social Data Science (SODAS) Santiago, Chile · Faculty of Engineering and Sciences Universidad Adolfo Ibáñez Millennium Nucleus for Social Data Science (SODAS) Millennium Nucleus in Data Science for Plant Resilience (PhytoLearning) Santiago, Chile

  58. Information-Based Exploration via Random Features for Reinforcement Learning

    Jul 20, 2026Waris Radji, Odalric-Ambrym MaillardStochastic ExplorationExploration

    Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189-CRIStAL, F-59000 Lille, France

  59. Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting

    Jul 20, 2026Chengbo Wang, Guozheng Ma, Jinhong Wu +2Recent 3D Gaussian SplattingNovel View Synthesis

    1Hunan University · 2Nanyang Technological University

  60. DeLIVeR: Decomposed Learning for Information-grounded Veracity Recognition via Reinforced Knowledge Graph Exploration

    Jul 20, 2026Cong Hoan Nguyen, Thomas Hoang, Hieu Minh Duong +1Fact-CheckingLarge Language Model Reliability

    University of Louisville, Louisville KY 40292, USA. · Denison University, Granville, Ohio 43023, USA.