| 1 | Pre-Crime for Agents, at the Last Second: Probing When a Recruited Agent Gives In | Leonidas Raghav | cs.AI | 2026-10-29 |
| 2 | Agentic University: Collaborative Agents for Personalized Learning | Jingru Fan, Tianle Zhou, Yunjie Zhou +10 | cs.AI | 2026-10-29 |
| 3 | Reinforcement learning for control of partial differential equations | Nicolò Botteghi, Matteo Tomasetto, Andrea Manzoni | cs.LG | 2026-10-29 |
| #4 | EpiAgent: Epistemic Self-Play for LLM Agents | Xuanfa Jin, Xinyu Cui, Zhijian Ma +4 | cs.AI | 2026-10-29 |
| #5 | Video Generation Meets Agent Harness: Agentic Video Generation, Agentic World Modeling and Recursive Self-Improvement | Liaoyuan Fan, Yuhao Zheng, Dongxing Mao +18 | cs.CV | 2026-10-29 |
| #6 | AdMuse: Skill-Guided Creative Advertising Image Generation | Minyan Luo, Yuxin Zhang, Meng Zhao +6 | cs.CV | 2026-10-29 |
| #7 | Locating and Closing Information Gaps in Multi-Agent Systems | Yaxin Gong, Chongming Gao, Gangyi Zhang +7 | cs.AI | 2026-10-29 |
| #8 | Learning Calibrated Confidence for Multi-Agent Collaboration | Chenxiao Fan, Chongming Gao, Gangyi Zhang +9 | cs.LG | 2026-10-29 |
| #9 | EvoTeam: Multi-Agent Collaboration via Evolving Teams | Qinuo Cao, Xin He, Dianxuan Fu +7 | cs.AI | 2026-10-29 |
| #10 | Judging Before Propagation: Task-Graph Contextual Integrity for Multi-Agent Privacy | Hengyu Wu, Blaise Delattre, Yang Cao | cs.CR | 2026-10-29 |
| #11 | Soei: Structured Observability of Evidence and Intent for Multi-Agent AI Software Engineering | Mohammed Nayeem Khan, K S Sarun Kumar | cs.SE | 2026-10-29 |
| #12 | Beyond LLM Wrappers: Context Engineering and the Three-Engine Architecture for Reliable Financial AI | Pradeep Kumar GS, Ravi Tanniru | cs.AI | 2026-10-29 |
| #13 | Goal-Aware Dynamic Multi-Agent Collaboration for Long-Horizon Tasks | Xu Shen, Lingyong Yan, Shuaiqiang Wang +4 | cs.AI | 2026-10-29 |
| #14 | PCM: A Proof-Carrying Message Protocol for Verifiable Multi-Agent Communication | Bravish Ghosh | cs.CE | 2026-10-29 |
| #15 | Reinforcement Learning for the Game of Balatro: A Fast Simulator and Two-Policy Training Approach | Ajay Vikram Periasami, Anjaneya Gupta, Ethan Cheng +1 | cs.LG | 2026-10-28 |
| #16 | MAS-Loop: Beyond One-Shot Orchestration towards Self-Evolving Multi-Agent Systems | Hehai Lin, Qi Yang, Chengwei Qin | cs.MA | 2026-10-28 |
| #17 | HEDGE: Gated Hypergraph Memory for Scalable Multi-Agent Debate | Amirhossein Abaskohi, Mahdi Mostajabdaveh, Zirui Zhou | cs.CL | 2026-10-28 |
| #18 | Auditable Belief Updates as a Missing Safety Layer for LLM-Powered Multi-Agent Systems | Zhuoyun Li, Boxuan Wang, Jinwei Hu +2 | cs.AI | 2026-10-28 |
| #19 | Vision-Based Density Estimation for Adaptive Traffic Control | Mohammad Usaid, Deepak Silaych, Hrithik Mhatre +1 | cs.CV | 2026-10-28 |
| #20 | Governance-Aware Federated Learning for Multi-Agent AI Systems: A Policy-Driven Framework for Trustworthy Collaborative AI | Kiranmayee Janardhan, Karthick S, Madhusmita Panda +2 | cs.AI | 2026-10-28 |
| #21 | A Case Study of a Multi-Agent Kernel-Optimization Loop That Learns a New AI Accelerator | Byonggon Chun | cs.LG | 2026-10-28 |
| #22 | Does 3D Pose Improve Action Valuation in Football? An Empirical Study of Pose Representations and Learning Objectives | Rikuhei Umemoto, Kenjiro Ide, Soham Majumder +2 | cs.CV | 2026-10-28 |
| #23 | FACTS-MAS: A Multi-Agent Architecture for Adaptive Forecasting from Heterogeneous Evidence | Madumita Karthikeyan, Umang Rajnikant Bid, Rong Pan | cs.AI | 2026-10-28 |
| #24 | Disparity Laundering: Consensus Without Fairness in Clinical Multi-Agent Systems | Xiaoyang Wang, Tianrui Wang, Christopher C. Yang | cs.AI | 2026-10-28 |
| #25 | Cooperative EV Charging Assignment Using Multi-Agent Reinforcement Learning: A Comparison of QMIX and Independent Q-Learning Under Urban Traffic Uncertainty | Nour-Eddine Moumni, Rachid Alaoui, Driss Kiouach | cs.MA | 2026-10-27 |
| #26 | SkillMem: Compact External Skill Memory for Latent Multi-Agent Reasoning | Yuxuan Zhu, Mohammad Mohammadi Amiri, Pin-Yu Chen +1 | cs.AI | 2026-10-27 |
| #27 | GARDEN: Generalist Autonomous Reward Design Through Evidence Navigation for Cooperative Multi-Agent Reinforcement Learning | Dogan Urgun | cs.AI | 2026-10-27 |
| #28 | VerifiedLab: Harnessing Knowns for Unknowns | Yu Yao, Jiayi Dong, Yang Yang +2 | cs.AI | 2026-10-27 |
| #29 | Multi-Agent Reinforcement Learning for Global Climate Policy Cooperation | Anne Moll-Elsborg, Oskar Bohn Lassen, Francisco Camara Pereira | cs.MA | 2026-10-27 |
| #30 | Selective and Hybrid-State Communication for Latent Multi-Agent Systems | Miles Liao, Aaron Smieszek, Yuhao Ge | cs.MA | 2026-10-27 |
| #31 | PerceptRL: Making Visual Perception Rewardable in MLLMs from Answers to Interactions | Tongkun Guan, Zhibo Yang, Mingkun Yang +3 | cs.CV | 2026-10-27 |
| #32 | Multi-Agent Reinforcement Learning of Co-Adaptive Hip Exoskeleton Control (MARL-Exo) for Metabolic Energy Reduction | Yifei Yuan, Jakob Wolf, Ghaith Androwis +1 | cs.RO | 2026-10-27 |
| #33 | Aligning Institutional Power and Operational Ability | Andrea Marino, Giovanni Sileno, Thomas van Binsbergen +1 | cs.AI | 2026-10-27 |
| #34 | Evolving Agent Teams | Shiyi Cao, Ziming Mao, Dacheng Li +2 | cs.AI | 2026-10-27 |
| #35 | Impossibility of No-Regret in Multi-Agent Bidding | Zongjun Yang, Rachitesh Kumar, Christian Kroer | cs.GT | 2026-10-27 |
| #36 | Remembering Is Not Enough: Refining Memories and Learning When to Use Them in Multi-Agent Systems | Yipeng Hao, Yuxuan Cai, Wenkai Ji +6 | cs.AI | 2026-10-27 |
| #37 | LM-DSB: A Lightweight Multi-agent System for Automated Daily Safety Bulletin Generation in Construction | Xianxiang Zhao, Advik Mehta, Falak Sethi +3 | cs.AI | 2026-10-27 |
| #38 | MAREval: A Multi-Agent Framework for Evaluating Natural Language Recommendation Explanations | Reza Yousefi Maragheh, Jayesh Uddhav Kudase, Aysenur Inan +7 | cs.AI | 2026-10-26 |
| #39 | Ontology-guided multi-agent reasoning for explainable differential diagnosis | Roxana Ramona Szomiu, George Ursu, Adrian Groza | cs.AI | 2026-10-26 |
| #40 | Replication or Corroboration? An Axiomatic Framework for Evidential Dependence in Multi-Agent Debate | Hoang-Loc Cao, Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen +6 | cs.MA | 2026-10-26 |
| #41 | Jaxnasium: Embracing PyTrees For Any-Agent, Cross-Suite Reinforcement Learning | Koen Ponse, Aske Plaat, Thomas M. Moerland | cs.LG | 2026-10-26 |
| #42 | Preference-Guided Cooperation in Multi-Objective Multi-Agent Reinforcement Learning | Qiyue Xia, J. Michael Herrmann | cs.MA | 2026-10-26 |
| #43 | EvoRouter: Cost-Efficient Multi-Agent Routing via Insight-Guided On-Policy Distillation | Yitao Xiao, Xu Zhang, Ye Cheng +6 | cs.AI | 2026-10-26 |
| #44 | Belief-Conditioned Multi-Agent Actor Critic for Decentralized LLM Collaboration | Tianle Chen, Shuo Liu, Christopher Amato | cs.AI | 2026-10-26 |
| #45 | Multi-Agent Relay Thinking | Xu Liu, Jungang Qiao, Guikun Chen +2 | cs.CV | 2026-10-26 |
| #46 | Same Story, Different Lens: A Multi-Agent System for Cross-Outlet News Framing Analysis | Affan Yasin, Yueqi Lyu, Rubia Fatima +2 | cs.AI | 2026-10-26 |
| #47 | ClinVerse: A Realistic Multi-Agent Diagnostic Environment for Training and Evaluating Medical Agents | Sirry Chen, Fangke Chen, Xuanwen Ding +2 | cs.AI | 2026-10-26 |
| #48 | Collective Emergent Alignment: Measuring and Amplifying Interaction-Induced Reasoning Alignment in Multi-Agent LLMs | Boxuan Wang, Zhuoyun Li, Sarvapali D. Ramchurn +2 | cs.AI | 2026-10-26 |
| #49 | Centralized Critics for N-Agent Ad Hoc Teamwork | Andrew McAlinden, Caroline Wang, Steven Shi +3 | cs.AI | 2026-10-26 |
| #50 | CEPO: A General Framework for Improving Prompt Optimization in Multi-Agent Systems | Jongha Kim, Seohyun Lee, Jonathan Minho Chung +2 | cs.AI | 2026-10-26 |