{"total":55,"rows":[{"id":"2509.08827","title":"A Survey of Reinforcement Learning for Large Reasoning Models","created":"2025-09-10","cited_by_count":180,"area":"lr"},{"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":"2509.19803","title":"VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models","created":"2025-09-24","cited_by_count":36,"area":"lr"},{"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":"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":"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":"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":"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":"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":"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":"2604.11037","title":"RTMC: Step-Level Credit Assignment via Rollout Trees","created":"2026-04-13","cited_by_count":12,"area":"lr"},{"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":"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":"2601.03164","title":"WebAnchor: Anchoring Agent Planning to Stabilize Long-Horizon Web Reasoning","created":"2026-01-06","cited_by_count":8,"area":"lr"},{"id":"2604.07165","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":"2601.03320","title":"Ratio-Variance Regularized Policy Optimization for Efficient LLM Fine-tuning","created":"2026-01-06","cited_by_count":6,"area":"lr"},{"id":"2601.18664","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":"2602.09598","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":"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":"2604.09455","title":"E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning","created":"2026-04-10","cited_by_count":6,"area":"lr"},{"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":"2604.08905","title":"StaRPO: Stability-Augmented Reinforcement Policy Optimization","created":"2026-04-10","cited_by_count":5,"area":"lr"},{"id":"2509.25827","title":"Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling","created":"2025-09-30","cited_by_count":4,"area":"lr"},{"id":"2510.12264","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":"2512.08980","title":"Training Multi-Image Vision Agents via End2End Reinforcement Learning","created":"2025-12-05","cited_by_count":4,"area":"lr"},{"id":"2601.06860","title":"ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration","created":"2026-01-11","cited_by_count":4,"area":"lr"},{"id":"2608.17393","title":"LEGO-RL: Harness-Native Reinforcement Learning for Coding Agents","created":"2026-08-18","cited_by_count":4,"area":"lr"},{"id":"2511.01409","title":"LiveSearchBench: An Automatically Constructed Benchmark for Retrieval and Reasoning over Dynamic Knowledge","created":"2025-11-03","cited_by_count":3,"area":"lr"},{"id":"2602.07848","title":"MARTI-MARS$^2$: Scaling Multi-Agent Self-Search via Reinforcement Learning for Code Generation","created":"2026-02-08","cited_by_count":3,"area":"lr"},{"id":"2604.07269","title":"Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent","created":"2026-04-08","cited_by_count":3,"area":"lr"},{"id":"2607.03702","title":"Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry","created":"2026-07-04","cited_by_count":3,"area":"lr"},{"id":"2606.21943","title":"Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning","created":"2026-06-20","cited_by_count":2,"area":"lr"},{"id":"2608.12764","title":"Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents","created":"2026-08-13","cited_by_count":2,"area":"lr"},{"id":"2601.16480","title":"TL-GRPO: Turn-Level RL for Reasoning-Guided Iterative Optimization","created":"2026-01-23","cited_by_count":1,"area":"lr"},{"id":"2604.27859","title":"Rethinking Agentic Reinforcement Learning In Large Language Models","created":"2026-04-30","cited_by_count":1,"area":"lr"},{"id":"2605.22411","title":"DeferMem: Query-Time Evidence Distillation via Reinforcement Learning for Long-Term Agent Memory","created":"2026-05-21","cited_by_count":1,"area":"lr"},{"id":"2511.08172","title":"An Efficient Training Pipeline for Reasoning Graphical User Interface Agents","created":"2025-11-11","cited_by_count":0,"area":"lr"},{"id":"2602.10006","title":"Answer First, Reason Later: Aligning Search Relevance via Mode-Balanced Reinforcement Learning","created":"2026-02-10","cited_by_count":0,"area":"lr"},{"id":"2605.27960","title":"Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning","created":"2026-05-27","cited_by_count":0,"area":"lr"},{"id":"2606.08875","title":"Can the Environment Speak for Itself? $T^{2}$-GRPO: A Turn-Trajectory Group Relative Policy Optimization for Caregiver Agents","created":"2026-06-07","cited_by_count":0,"area":"lr"},{"id":"2606.14240","title":"AFFORDANCE20Q: Evaluating Affordance Reasoning from Physical Properties","created":"2026-06-12","cited_by_count":0,"area":"lr"},{"id":"2606.23678","title":"AIR: Adaptive Interleaved Reasoning with Code in MLLMs","created":"2026-06-22","cited_by_count":0,"area":"lr"},{"id":"2609.30906","title":"ToolSearcher: Optimizing Tool Selection at Scale via Reinforcement Learning","created":"2026-09-25","cited_by_count":0,"area":"lr"},{"id":"2610.03361","title":"Follow the Winners: Conservative Policy Improvement with the Cross-Entropy Method for Critic-Free RFT","created":"2026-10-02","cited_by_count":0,"area":"lr"},{"id":"2610.17726","title":"TSRL: Trigger-based Supervised Reinforcement Learning for Continual Agent Training","created":"2026-10-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}