Key papers

• ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory (2026)
  Jiayi Tian et al.
  13.78
• Multi-Agent LLMs Fail to Explore Each Other (2026)
  Hyeong Kyu Choi et al.
  7.36
• Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approach (2026)
  George Stamatelis et al.
  4.39
• RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies (2026)
  Tianxing Chen et al.
  4.39
• Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components (2026)
  Muntasir Hoq et al.
  4.39
• KAT-Coder-V2.5 Technical Report (2026)
  Bo Huang et al.
  4.39
• Decision Protocols in Multi-Agent Large Language Model Conversations (2026)
  Lars Benedikt Kaesberg
  4.39
• From Closed-Loop Optimization to Open Decision Making: Coupled Digital Twins for Predictive and Autonomous Microscopy (2026)
  Yu Liu et al.
  4.39
• PCBWorld: A Benchmark Environment for Engine-Grounded PCB Design Automation (2026)
  Hyungseok Song et al.
  4.39
• Danus: Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory (2026)
  Jihao Liu et al.
  4.39
• Interpreting Latent CoT Reasoning as Dynamical Systems (2026)
  Sabari Iyyappan Duraipandian et al.
  4.39
• Replicating Belief, Not Bits: Epistemic State Replication for Agentic Systems (2026)
  Jun He et al.
  4.39
• EvoCUA-1.5: Online Reinforcement Learning for Multi-turn Computer-Use Agents (2026)
  Mianqiu Huang et al.
  4.39
• From Patterns to Maze Structures: SMT-Based Path Synthesis and 2D/3D Construction (2026)
  Shengyi Wang
  4.39
• Memory-Conditioned Tool Calling for Camera-First Visual Agents (2026)
  Xiaofan Wu (Chance AI) et al.
  4.39
• AgentAbstain: Do LLM Agents Know When Not to Act? (2026)
  Xun Liu et al.
  4.39
• MAG: A Web-Agent Benchmark and Harness for Multimodal Action and Guide Generation (2026)
  Chengguang Gan et al.
  4.39
• Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries (2026)
  Yubo Li
  4.39
• IdeaTrail: Full-Process Agent Trajectories for Scientific Ideation (2026)
  Hengquan Guo
  4.39
• Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems (2026)
  Rongping Zhou et al.
  4.39
• Co4ICF: Co-evolving Physics-Informed Surrogate and RL-based Pulse Optimizer for Inertial Confinement Fusion (2026)
  Jiatong Zhao et al.
  4.39
• ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World Harm (2026)
  Kefan Song et al.
  4.39
• Confining Nondeterminism: AI-Driven Research Systems as DBMSs for Reliable, Non-Wasteful, Transparent, and Collaborative Research [Vision] (2026)
  Kyoungmin Kim et al.
  4.39
• Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Stateful Personal Agents (2026)
  Xutao Mao et al.
  4.39
• How Do Practitioners Build SE Agents? Insights from a Mixed-Methods Study (2026)
  Yunbo Lyu et al.
  4.39
• A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery (2026)
  Prashant Devadiga et al.
  4.39
• SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL (2026)
  Bowen Lv et al.
  4.39
• Heterogeneous Agent Cohorts for Safe Open-Ended Exploration with Runtime Constraint Memory (2026)
  Tengjiao Liu
  4.39
• Efficient Test-Time Optimization for Multi-Agent Proof Autoformalization (2026)
  Tian-Shuo Liu et al.
  4.39
• An Agentic AI Scientific Community for Automated Neural Operator Discovery (2026)
  Luis Loo et al.
  4.39
• Engineering Trustworthy Agentic AI for Critical Systems (2026)
  Omar Al-Refai et al.
  4.39
• Scalable Policy Optimization for Networked Multi-Agent Reinforcement Learning with Continuous State-Action Spaces (2026)
  Dongming Wang et al.
  4.39
• A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space (2026)
  Shuangyao Huang
  4.39
• Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents (2026)
  Yamato Takahagi et al.
  4.39
• AI Tour Meeting: Group Travel Planning by LLM Agents (2026)
  Daisuke Kikuta
  4.39
• S3: Stable Subgoal Selection by Constraining Uncertainty of Coarse Dynamics in Hierarchical Reinforcement Learning (2026)
  Kshitij Kumar Srivastava et al.
  4.39
• A toy framework for single and multi-agent human-AI curiosity ecosystems (2026)
  Ilya E. Monosov
  3.51
• Omni-Decision: A Progressive Evidence-State Agent System for Omni-Modal QA (2026)
  Ming Ma et al.
  3.51
• Agentic Skill Optimization over Lie Algebroids (2026)
  Sridhar Mahadevan
  3.51
• MAGE: Understanding Stability-Performance Trade-offs in Multi-component Prompt Optimization (2026)
  Prateek Singh
  3.51
• Fine-Tuned Multi-Agent Framework for Detecting OCEAN in Life Narratives (2026)
  Rasiq Hussain et al.
  3.51
• Broken Gates: Re-evaluating Web Bot Defenses in the Age of LLM Agents (2026)
  Behzad Ousat et al.
  3.51
• They'll Verify. They Just Won't Act. How Authority Framing and Laundered Code Turn a Trusted Agentic CI/CD Pipeline Into an Attack Surface (2026)
  Yohann Sidot
  3.51
• Agentic generation of verifiable rules for deterministic, self-expanding reaction classification (2026)
  Daniel Armstrong et al.
  2.00
• Agent Step Value: Auditing Evaluator-Channel Reversals in Black-Box Agent Traces (2026)
  Andrew Zhang et al.
  2.00
• AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation (2026)
  Andrey Podivilov et al.
  2.00
• FormalAnalyticGeo: A Neural-Symbolic Based Framework for Multimodal Analytic Geometry Problem Generation (2026)
  Ruoran Xu et al.
  2.00