{"total":273,"rows":[{"id":"2504.13958","title":"ToolRL: Reward is All Tool Learning Needs","created":"2025-04-16","cited_by_count":362,"area":"agents"},{"id":"2508.19828","title":"Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning","created":"2025-08-27","cited_by_count":237,"area":"agents"},{"id":"2505.22648","title":"WebDancer: Towards Autonomous Information Seeking Agency","created":"2025-05-28","cited_by_count":188,"area":"agents"},{"id":"2503.23383","title":"ToRL: Scaling Tool-Integrated RL","created":"2025-03-30","cited_by_count":169,"area":"agents"},{"id":"2508.05748","title":"WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent","created":"2025-08-07","cited_by_count":119,"area":"agents"},{"id":"2512.22047","title":"MAI-UI Technical Report: Real-World Centric Foundation GUI Agents","created":"2025-12-26","cited_by_count":91,"area":"agents"},{"id":"2603.10165","title":"OpenClaw-RL: Train Any Agent Simply by Talking","created":"2026-03-10","cited_by_count":90,"area":"agents"},{"id":"2512.06688","title":"PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory","created":"2025-12-07","cited_by_count":88,"area":"agents"},{"id":"2511.10395","title":"AgentEvolver: Towards Efficient Self-Evolving Agent System","created":"2025-11-13","cited_by_count":85,"area":"agents"},{"id":"2505.16282","title":"ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay","created":"2025-05-22","cited_by_count":77,"area":"agents"},{"id":"2509.08755","title":"AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning","created":"2025-09-10","cited_by_count":72,"area":"agents"},{"id":"2601.10156","title":"ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback","created":"2026-01-15","cited_by_count":72,"area":"agents"},{"id":"2510.04206","title":"AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework","created":"2025-10-05","cited_by_count":62,"area":"agents"},{"id":"2502.13965","title":"Autellix: An Efficient Serving Engine for LLM Agents as General Programs","created":"2025-02-19","cited_by_count":58,"area":"agents"},{"id":"2504.16129","title":"MARFT: Multi-Agent Reinforcement Fine-Tuning","created":"2025-04-21","cited_by_count":52,"area":"agents"},{"id":"2605.06614","title":"SkillOS: Learning Skill Curation for Self-Evolving Agents","created":"2026-05-07","cited_by_count":49,"area":"agents"},{"id":"2510.14967","title":"Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents","created":"2025-10-16","cited_by_count":48,"area":"agents"},{"id":"2511.16108","title":"SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent","created":"2025-11-20","cited_by_count":48,"area":"agents"},{"id":"2509.19199","title":"Agentic Reinforcement Learning with Implicit Step Rewards","created":"2025-09-23","cited_by_count":47,"area":"agents"},{"id":"2509.09265","title":"Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents","created":"2025-09-11","cited_by_count":46,"area":"agents"},{"id":"2509.18119","title":"MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents","created":"2025-09-10","cited_by_count":43,"area":"agents"},{"id":"2506.17612","title":"JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent","created":"2025-06-21","cited_by_count":39,"area":"agents"},{"id":"2510.18821","title":"Search Self-play: Pushing the Frontier of Agent Capability without Supervision","created":"2025-10-21","cited_by_count":34,"area":"agents"},{"id":"2508.18669","title":"MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use","created":"2025-08-26","cited_by_count":32,"area":"agents"},{"id":"2509.19736","title":"UserRL: Training Interactive User-Centric Agent via Reinforcement Learning","created":"2025-09-24","cited_by_count":32,"area":"agents"},{"id":"2511.12159","title":"CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic","created":"2025-11-15","cited_by_count":30,"area":"agents"},{"id":"2510.09781","title":"Building a Foundational Guardrail for General Agentic Systems via Synthetic Data","created":"2025-10-10","cited_by_count":29,"area":"agents"},{"id":"2511.14460","title":"Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning","created":"2025-11-18","cited_by_count":29,"area":"agents"},{"id":"2505.23723","title":"ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering","created":"2025-05-29","cited_by_count":26,"area":"agents"},{"id":"2506.19290","title":"Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs","created":"2025-06-24","cited_by_count":26,"area":"agents"},{"id":"2505.23671","title":"GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents","created":"2025-05-29","cited_by_count":25,"area":"agents"},{"id":"2510.01051","title":"GEM: A Gym for Agentic LLMs","created":"2025-10-01","cited_by_count":23,"area":"agents"},{"id":"2604.15840","title":"CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution","created":"2026-04-17","cited_by_count":23,"area":"agents"},{"id":"2509.14295","title":"Aegis: Automated Error Generation and Attribution for Multi-Agent Systems","created":"2025-09-17","cited_by_count":22,"area":"agents"},{"id":"2601.04786","title":"AgentOCR: Reimagining Agent History via Optical Self-Compression","created":"2026-01-08","cited_by_count":22,"area":"agents"},{"id":"2605.07725","title":"SOD: Step-wise On-policy Distillation for Small Language Model Agents","created":"2026-05-08","cited_by_count":21,"area":"agents"},{"id":"2603.01050","title":"MM-DeepResearch: A Simple and Effective Multimodal Agentic Search Baseline","created":"2026-03-01","cited_by_count":20,"area":"agents"},{"id":"2603.18815","title":"ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents","created":"2026-03-19","cited_by_count":20,"area":"agents"},{"id":"2508.08791","title":"Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments","created":"2025-08-12","cited_by_count":19,"area":"agents"},{"id":"2510.27598","title":"InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM Research","created":"2025-10-31","cited_by_count":19,"area":"agents"},{"id":"2601.02439","title":"WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks","created":"2026-01-05","cited_by_count":19,"area":"agents"},{"id":"2602.23008","title":"Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization","created":"2026-02-26","cited_by_count":19,"area":"agents"},{"id":"2605.06078","title":"Milestone-Guided Policy Learning for Long-Horizon Language Agents","created":"2026-05-07","cited_by_count":19,"area":"agents"},{"id":"2508.19598","title":"Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning","created":"2025-08-27","cited_by_count":17,"area":"agents"},{"id":"2508.20404","title":"AWorld: Orchestrating the Training Recipe for Agentic AI","created":"2025-08-28","cited_by_count":17,"area":"agents"},{"id":"2510.01132","title":"A Practitioner's Guide to Multi-turn Agentic Reinforcement Learning","created":"2025-10-01","cited_by_count":17,"area":"agents"},{"id":"2602.13692","title":"ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System","created":"2026-02-14","cited_by_count":17,"area":"agents"},{"id":"2602.16699","title":"Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents","created":"2026-02-18","cited_by_count":17,"area":"agents"},{"id":"2601.07264","title":"The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents","created":"2026-01-12","cited_by_count":16,"area":"agents"},{"id":"2510.11345","title":"Part II: ROLL Flash -- Accelerating RLVR and Agentic Training with Asynchrony","created":"2025-10-13","cited_by_count":15,"area":"agents"},{"id":"2511.01008","title":"MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL","created":"2025-11-02","cited_by_count":15,"area":"agents"},{"id":"2511.18538","title":"From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence","created":"2025-11-23","cited_by_count":15,"area":"agents"},{"id":"2601.08323","title":"AtomMem : Learnable Dynamic Agentic Memory with Atomic Memory Operation","created":"2026-01-13","cited_by_count":15,"area":"agents"},{"id":"2601.22154","title":"Exploring Reasoning Reward Model for Agents","created":"2026-01-29","cited_by_count":15,"area":"agents"},{"id":"2603.02604","title":"Heterogeneous Agent Collaborative Reinforcement Learning","created":"2026-03-03","cited_by_count":15,"area":"agents"},{"id":"2606.28434","title":"SWE-MeM: Learning Adaptive Memory Management for Long-Horizon Coding Agents","created":"2026-06-26","cited_by_count":15,"area":"agents"},{"id":"2509.14257","title":"Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs","created":"2025-09-12","cited_by_count":14,"area":"agents"},{"id":"2510.04284","title":"Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning","created":"2025-10-05","cited_by_count":14,"area":"agents"},{"id":"2512.22560","title":"RollArt: Disaggregated Multi-Task Agentic RL Training at Scale","created":"2025-12-27","cited_by_count":14,"area":"agents"},{"id":"2604.11784","title":"ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents","created":"2026-04-13","cited_by_count":14,"area":"agents"},{"id":"2605.18703","title":"EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL","created":"2026-05-18","cited_by_count":14,"area":"agents"},{"id":"2606.01619","title":"ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL","created":"2026-06-01","cited_by_count":14,"area":"agents"},{"id":"2511.09586","title":"Environment Scaling for Interactive Agentic Experience Collection: A Survey","created":"2025-11-12","cited_by_count":13,"area":"agents"},{"id":"2602.17100","title":"AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation","created":"2026-02-19","cited_by_count":13,"area":"agents"},{"id":"2602.21534","title":"ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning","created":"2026-02-25","cited_by_count":13,"area":"agents"},{"id":"2605.19447","title":"What and When to Distill: Selective Hindsight Distillation for Multi-Turn Agents","created":"2026-05-19","cited_by_count":13,"area":"agents"},{"id":"2508.00344","title":"PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning","created":"2025-08-01","cited_by_count":11,"area":"agents"},{"id":"2509.22601","title":"Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning","created":"2025-09-26","cited_by_count":11,"area":"agents"},{"id":"2509.25084","title":"Scaling Generalist Data-Analytic Agents","created":"2025-09-29","cited_by_count":11,"area":"agents"},{"id":"2510.25320","title":"GAP: Graph-Based Agent Planning with Parallel Tool Use and Reinforcement Learning","created":"2025-10-29","cited_by_count":11,"area":"agents"},{"id":"2605.08715","title":"AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems","created":"2026-05-09","cited_by_count":11,"area":"agents"},{"id":"2605.12481","title":"ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents","created":"2026-05-12","cited_by_count":11,"area":"agents"},{"id":"2605.24218","title":"QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks","created":"2026-05-22","cited_by_count":11,"area":"agents"},{"id":"2509.25598","title":"Hybrid Reward Normalization for Process-supervised Non-verifiable Agentic Tasks","created":"2025-09-29","cited_by_count":10,"area":"agents"},{"id":"2601.22511","title":"Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards","created":"2026-01-30","cited_by_count":10,"area":"agents"},{"id":"2603.19191","title":"OS-Themis: A Scalable Critic Framework for Generalist GUI Rewards","created":"2026-03-19","cited_by_count":10,"area":"agents"},{"id":"2605.21768","title":"Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents","created":"2026-05-20","cited_by_count":10,"area":"agents"},{"id":"2606.11119","title":"TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning","created":"2026-06-09","cited_by_count":10,"area":"agents"},{"id":"2511.01527","title":"TPS-Bench: Evaluating AI Agents' Tool Planning \\& Scheduling Abilities in Compounding Tasks","created":"2025-11-03","cited_by_count":9,"area":"agents"},{"id":"2601.07526","title":"MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era","created":"2026-01-12","cited_by_count":9,"area":"agents"},{"id":"2507.14897","title":"AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents","created":"2025-07-20","cited_by_count":8,"area":"agents"},{"id":"2510.14253","title":"Towards Agentic Self-Learning LLMs in Search Environment","created":"2025-10-16","cited_by_count":8,"area":"agents"},{"id":"2601.01498","title":"From Failure to Mastery: Generating Hard Samples for Tool-use Agents","created":"2026-01-04","cited_by_count":8,"area":"agents"},{"id":"2601.04767","title":"AT$^2$PO: Agentic Turn-based Policy Optimization via Tree Search","created":"2026-01-08","cited_by_count":8,"area":"agents"},{"id":"2601.08435","title":"Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management","created":"2026-01-13","cited_by_count":8,"area":"agents"},{"id":"2602.01202","title":"Workflow-R1: Group Sub-sequence Policy Optimization for Multi-turn Workflow Construction","created":"2026-02-01","cited_by_count":8,"area":"agents"},{"id":"2602.03320","title":"MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning","created":"2026-02-03","cited_by_count":8,"area":"agents"},{"id":"2604.18401","title":"CAPO: Critic-Guided Action-Aligned Policy Optimization for Advancing LLM Agent Capabilities","created":"2026-04-20","cited_by_count":8,"area":"agents"},{"id":"2606.03135","title":"Uncertainty-Aware Clarification in LLM Agents with Information Gain","created":"2026-06-02","cited_by_count":8,"area":"agents"},{"id":"2607.04425","title":"UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents","created":"2026-07-05","cited_by_count":8,"area":"agents"},{"id":"2510.19386","title":"ColorAgent: Building A Robust, Personalized, and Interactive OS Agent","created":"2025-10-22","cited_by_count":7,"area":"agents"},{"id":"2602.05176","title":"Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems","created":"2026-02-05","cited_by_count":7,"area":"agents"},{"id":"2603.00540","title":"LOGIGEN: Logic-Driven Generation of Verifiable Agentic Tasks","created":"2026-02-28","cited_by_count":7,"area":"agents"},{"id":"2605.03228","title":"Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory","created":"2026-05-04","cited_by_count":7,"area":"agents"},{"id":"2608.17528","title":"Agent Lightning v1.0: Towards Harnessed Agentic RL","created":"2026-08-18","cited_by_count":7,"area":"agents"},{"id":"2510.23272","title":"Code Aesthetics with Agentic Reward Feedback","created":"2025-10-27","cited_by_count":6,"area":"agents"},{"id":"2512.23412","title":"MindWatcher: Toward Smarter Multimodal Tool-Integrated Reasoning","created":"2025-12-29","cited_by_count":6,"area":"agents"},{"id":"2601.18217","title":"Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Training for LLM Agents","created":"2026-01-26","cited_by_count":6,"area":"agents"},{"id":"2602.09372","title":"AgentSkiller: Scaling Generalist Agent Intelligence through Semantically Integrated Cross-Domain Data Synthesis","created":"2026-02-10","cited_by_count":6,"area":"agents"},{"id":"2602.10356","title":"Autonomous Continual Learning for Environment Adaptation of Computer-Use Agents","created":"2026-02-10","cited_by_count":6,"area":"agents"}],"next_cursor":"100"}