{"total":205,"rows":[{"id":"2512.13564","title":"Memory in the Age of AI Agents","created":"2025-12-15","cited_by_count":303,"area":"agents"},{"id":"2509.08827","title":"A Survey of Reinforcement Learning for Large Reasoning Models","created":"2025-09-10","cited_by_count":180,"area":"lr"},{"id":"2510.11967","title":"Scaling Long-Horizon LLM Agent via Context-Folding","created":"2025-10-13","cited_by_count":148,"area":"agents"},{"id":"2602.20867","title":"SoK: Agentic Skills -- Beyond Tool Use in LLM Agents","created":"2026-02-24","cited_by_count":130,"area":"agents"},{"id":"2510.24699","title":"AgentFold: Long-Horizon Web Agents with Proactive Context Management","created":"2025-10-28","cited_by_count":103,"area":"agents"},{"id":"2511.10395","title":"AgentEvolver: Towards Efficient Self-Evolving Agent System","created":"2025-11-13","cited_by_count":85,"area":"agents"},{"id":"2509.21240","title":"Tree Search for LLM Agent Reinforcement Learning","created":"2025-09-25","cited_by_count":79,"area":"agents"},{"id":"2604.18292","title":"Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence","created":"2026-04-20","cited_by_count":54,"area":"agents"},{"id":"2601.12538","title":"A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents","created":"2026-01-18","cited_by_count":50,"area":"lr"},{"id":"2602.22817","title":"Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks","created":"2026-02-26","cited_by_count":49,"area":"lr"},{"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":"2510.14545","title":"Agentic Entropy-Balanced Policy Optimization","created":"2025-10-16","cited_by_count":40,"area":"agents"},{"id":"2509.19803","title":"VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models","created":"2025-09-24","cited_by_count":36,"area":"lr"},{"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":"2602.21320","title":"Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data","created":"2026-02-24","cited_by_count":34,"area":"agents"},{"id":"2603.28716","title":"Dynamic Dual-Granularity Skill Bank for Agentic RL","created":"2026-03-30","cited_by_count":34,"area":"agents"},{"id":"2509.11543","title":"UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning","created":"2025-09-15","cited_by_count":32,"area":"alignment"},{"id":"2606.26790","title":"OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning","created":"2026-06-25","cited_by_count":32,"area":"agents"},{"id":"2607.14777","title":"SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning","created":"2026-07-16","cited_by_count":32,"area":"agents"},{"id":"2510.23587","title":"A Survey of Data Agents: Emerging Paradigm or Overstated Hype?","created":"2025-10-27","cited_by_count":30,"area":"agents"},{"id":"2509.25300","title":"Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning","created":"2025-09-29","cited_by_count":29,"area":"lr"},{"id":"2510.08529","title":"CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards","created":"2025-10-09","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":"2603.16060","title":"ARISE: Agent Reasoning with Intrinsic Skill Evolution in Hierarchical Reinforcement Learning","created":"2026-03-17","cited_by_count":29,"area":"lr"},{"id":"2511.02805","title":"MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning","created":"2025-11-04","cited_by_count":27,"area":"lr"},{"id":"2602.13035","title":"Look Inward to Explore Outward: Learning Temperature Policy from LLM Internal States via Hierarchical RL","created":"2026-02-13","cited_by_count":27,"area":null},{"id":"2510.10991","title":"A Survey on Agentic Multimodal Large Language Models","created":"2025-10-13","cited_by_count":23,"area":"mllm"},{"id":"2604.09459","title":"From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models","created":"2026-04-10","cited_by_count":23,"area":"lr"},{"id":"2601.04786","title":"AgentOCR: Reimagining Agent History via Optical Self-Compression","created":"2026-01-08","cited_by_count":22,"area":"agents"},{"id":"2511.05993","title":"Revisiting Entropy in Reinforcement Learning for Large Reasoning Models","created":"2025-11-08","cited_by_count":21,"area":"lr"},{"id":"2512.16848","title":"Meta-RL Induces Exploration in Language Agents","created":"2025-12-18","cited_by_count":21,"area":"lr"},{"id":"2601.03555","title":"SCRIBE: Structured Mid-Level Supervision for Tool-Using Language Models","created":"2026-01-07","cited_by_count":21,"area":"alignment"},{"id":"2605.06078","title":"Milestone-Guided Policy Learning for Long-Horizon Language Agents","created":"2026-05-07","cited_by_count":19,"area":"agents"},{"id":"2509.17567","title":"LIMI: Less is More for Agency","created":"2025-09-22","cited_by_count":17,"area":"agents"},{"id":"2509.21842","title":"DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agents","created":"2025-09-26","cited_by_count":17,"area":"agents"},{"id":"2512.20745","title":"AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent","created":"2025-12-23","cited_by_count":17,"area":"lr"},{"id":"2604.15877","title":"Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents","created":"2026-04-17","cited_by_count":17,"area":"agents"},{"id":"2602.08847","title":"Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems","created":"2026-02-09","cited_by_count":16,"area":"lr"},{"id":"2509.06733","title":"Reinforcement Learning Foundations for Deep Research Systems: A Survey","created":"2025-09-08","cited_by_count":14,"area":"lr"},{"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":"2601.04888","title":"SmartSearch: Process Reward-Guided Query Refinement for Search Agents","created":"2026-01-08","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":"2511.21678","title":"Agentic Learner with Grow-and-Refine Multimodal Semantic Memory","created":"2025-11-26","cited_by_count":13,"area":"lr"},{"id":"2601.08079","title":"MemoBrain: Executive Memory as an Agentic Brain for Reasoning","created":"2026-01-12","cited_by_count":13,"area":"lr"},{"id":"2603.00656","title":"InfoPO: Information-Driven Policy Optimization for User-Centric Agents","created":"2026-02-28","cited_by_count":12,"area":"agents"},{"id":"2604.11037","title":"RTMC: Step-Level Credit Assignment via Rollout Trees","created":"2026-04-13","cited_by_count":12,"area":"lr"},{"id":"2605.18396","title":"NEWTON: Agentic Planning for Physically Grounded Video Generation","created":"2026-05-18","cited_by_count":12,"area":"agents"},{"id":"2509.21737","title":"POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization","created":"2025-09-26","cited_by_count":11,"area":"deeprl"},{"id":"2601.20209","title":"Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning","created":"2026-01-28","cited_by_count":11,"area":"agents"},{"id":"2604.04872","title":"Synthetic Sandbox for Training Machine Learning Engineering Agents","created":"2026-04-06","cited_by_count":11,"area":"agents"},{"id":"2510.07794","title":"HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation","created":"2025-10-09","cited_by_count":10,"area":"rag"},{"id":"2510.25510","title":"MTIR-SQL: Multi-turn Tool-Integrated Reasoning Reinforcement Learning for Text-to-SQL","created":"2025-10-29","cited_by_count":10,"area":"lr"},{"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":"2606.15866","title":"STRIDE: Strategic Trajectory Reasoning via Discriminative Estimation for Verifiable Reinforcement Learning","created":"2026-06-14","cited_by_count":10,"area":"lr"},{"id":"2510.24645","title":"FunReason-MT Technical Report: Advanced Data Synthesis Solution for Real-world Multi-Turn Tool-use","created":"2025-10-28","cited_by_count":9,"area":"lr"},{"id":"2512.07478","title":"Enhancing Agentic RL with Progressive Reward Shaping and Value-based Sampling Policy Optimization","created":"2025-12-08","cited_by_count":9,"area":"lr"},{"id":"2605.02913","title":"Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning","created":"2026-04-08","cited_by_count":9,"area":"lr"},{"id":"2512.23760","title":"Audited Skill-Graph Self-Improvement for Agentic LLMs via Verifiable Rewards, Experience Synthesis, and Continual Memory","created":"2025-12-28","cited_by_count":8,"area":"agents"},{"id":"2601.03164","title":"WebAnchor: Anchoring Agent Planning to Stabilize Long-Horizon Web Reasoning","created":"2026-01-06","cited_by_count":8,"area":"lr"},{"id":"2604.05013","title":"Scaling Coding Agents via Atomic Skills","created":"2026-04-06","cited_by_count":8,"area":"agents"},{"id":"2604.07165","title":"Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization","created":"2026-04-08","cited_by_count":8,"area":"lr"},{"id":"2509.22391","title":"Do LLM Agents Know How to Ground, Recover, and Assess? A Benchmark for Epistemic Competence in Information-Seeking Agents","created":"2025-09-26","cited_by_count":7,"area":"agents"},{"id":"2510.20176","title":"Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding","created":"2025-10-23","cited_by_count":7,"area":"agents"},{"id":"2602.09138","title":"PABU: Progress-Aware Belief Update for Efficient LLM Agents","created":"2026-02-09","cited_by_count":7,"area":"agents"},{"id":"2605.02900","title":"Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses","created":"2026-03-28","cited_by_count":7,"area":"safety"},{"id":"2606.08755","title":"Co-Evolving Skill Generation and Policy Optimization","created":"2026-06-07","cited_by_count":7,"area":null},{"id":"2606.26027","title":"Why Multi-Step Tool-Use Reinforcement Learning Collapses and How Supervisory Signals Fix It","created":"2026-06-24","cited_by_count":7,"area":"agents"},{"id":"2512.22256","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","created":"2025-12-24","cited_by_count":6,"area":"agents"},{"id":"2601.03320","title":"Ratio-Variance Regularized Policy Optimization for Efficient LLM Fine-tuning","created":"2026-01-06","cited_by_count":6,"area":"lr"},{"id":"2601.03641","title":"Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning","created":"2026-01-07","cited_by_count":6,"area":"agents"},{"id":"2601.14287","title":"Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents","created":"2026-01-14","cited_by_count":6,"area":"agents"},{"id":"2601.18664","title":"S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation","created":"2026-01-26","cited_by_count":6,"area":"lr"},{"id":"2602.06554","title":"SeeUPO: Sequence-Level Agentic-RL with Convergence Guarantees","created":"2026-02-06","cited_by_count":6,"area":"agents"},{"id":"2602.09598","title":"Learning from the Irrecoverable: Error-Localized Policy Optimization for Tool-Integrated LLM Reasoning","created":"2026-02-10","cited_by_count":6,"area":"lr"},{"id":"2602.22303","title":"Training Agents to Self-Report Misbehavior","created":"2026-02-25","cited_by_count":6,"area":"agents"},{"id":"2603.07892","title":"RoboRouter: Training-Free Policy Routing for Robotic Manipulation","created":"2026-03-09","cited_by_count":6,"area":"vla"},{"id":"2603.12109","title":"On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents","created":"2026-03-12","cited_by_count":6,"area":"lr"},{"id":"2603.15255","title":"SAGE: Multi-Agent Self-Evolution for LLM Reasoning","created":"2026-03-16","cited_by_count":6,"area":"lr"},{"id":"2603.17343","title":"EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection","created":"2026-03-18","cited_by_count":6,"area":"agents"},{"id":"2604.09455","title":"E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning","created":"2026-04-10","cited_by_count":6,"area":"lr"},{"id":"2605.27209","title":"Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments","created":"2026-05-26","cited_by_count":6,"area":"agents"},{"id":"2510.03120","title":"SurveyBench: Can LLM(-Agents) Write Academic Surveys that Align with Reader Needs?","created":"2025-10-03","cited_by_count":5,"area":null},{"id":"2510.26270","title":"Graph-Enhanced Policy Optimization in LLM Agent Training","created":"2025-10-30","cited_by_count":5,"area":"agents"},{"id":"2511.12908","title":"DeepSport: A Multimodal Large Language Model for Comprehensive Sports Video Reasoning via Agentic Reinforcement Learning","created":"2025-11-17","cited_by_count":5,"area":"lr"},{"id":"2602.02039","title":"Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models","created":"2026-02-02","cited_by_count":5,"area":"agents"},{"id":"2604.06753","title":"Select-then-Solve: Paradigm Routing as Inference-Time Optimization for LLM Agents","created":"2026-04-08","cited_by_count":5,"area":"agents"},{"id":"2604.08905","title":"StaRPO: Stability-Augmented Reinforcement Policy Optimization","created":"2026-04-10","cited_by_count":5,"area":"lr"},{"id":"2605.00425","title":"AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning","created":"2026-05-01","cited_by_count":5,"area":"agents"},{"id":"2605.02801","title":"Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces","created":"2026-05-04","cited_by_count":5,"area":"agents"},{"id":"2605.12070","title":"Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction","created":"2026-05-12","cited_by_count":5,"area":"agents"},{"id":"2605.24598","title":"Hera: Learning Long-Horizon Coordination for Device-Cloud Collaborative LLM Agents","created":"2026-05-23","cited_by_count":5,"area":"agents"},{"id":"2606.17680","title":"EnvRL: Learn from Environment Dynamics in Agentic Reinforcement Learning","created":"2026-06-16","cited_by_count":5,"area":"agents"},{"id":"2607.00038","title":"Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting","created":"2026-06-28","cited_by_count":5,"area":"agents"},{"id":"2607.26784","title":"SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution","created":"2026-07-29","cited_by_count":5,"area":"agents"},{"id":"2509.22613","title":"Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective","created":"2025-09-26","cited_by_count":4,"area":null},{"id":"2509.25827","title":"Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling","created":"2025-09-30","cited_by_count":4,"area":"lr"},{"id":"2510.03253","title":"Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents","created":"2025-09-26","cited_by_count":4,"area":"agents"},{"id":"2510.12264","title":"Reducing Belief Deviation in Reinforcement Learning for Active Reasoning","created":"2025-10-14","cited_by_count":4,"area":"lr"},{"id":"2510.26020","title":"PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning","created":"2025-10-29","cited_by_count":4,"area":"lr"},{"id":"2511.16193","title":"Fast LLM Post-training via Decoupled and Fastest-of-N Speculation","created":"2025-11-20","cited_by_count":4,"area":"inference"}],"next_cursor":"100"}