{"total":62,"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":"2511.16043","title":"Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning","created":"2025-11-20","cited_by_count":75,"area":"lr"},{"id":"2510.05592","title":"In-the-Flow Agentic System Optimization for Effective Planning and Tool Use","created":"2025-10-07","cited_by_count":72,"area":"lr"},{"id":"2510.21618","title":"DeepAgent: A General Reasoning Agent with Scalable Toolsets","created":"2025-10-24","cited_by_count":71,"area":"lr"},{"id":"2510.08191","title":"Training-Free Group Relative Policy Optimization","created":"2025-10-09","cited_by_count":55,"area":"lr"},{"id":"2511.19900","title":"Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning","created":"2025-11-25","cited_by_count":31,"area":"lr"},{"id":"2510.04996","title":"Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives","created":"2025-10-06","cited_by_count":25,"area":"lr"},{"id":"2510.23038","title":"Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning","created":"2025-10-27","cited_by_count":17,"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":"2512.04220","title":"On Group Relative Policy Optimization Collapse in Agent Search: The Lazy Likelihood-Displacement","created":"2025-12-03","cited_by_count":15,"area":"lr"},{"id":"2601.06943","title":"Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning","created":"2026-01-11","cited_by_count":14,"area":"lr"},{"id":"2510.24694","title":"Repurposing Synthetic Data for Fine-grained Search Agent Supervision","created":"2025-10-28","cited_by_count":11,"area":"lr"},{"id":"2511.02303","title":"Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation","created":"2025-11-04","cited_by_count":11,"area":"lr"},{"id":"2602.03025","title":"RC-GRPO: Reward-Conditioned Group Relative Policy Optimization for Multi-Turn Tool Calling Agents","created":"2026-02-03","cited_by_count":11,"area":"lr"},{"id":"2510.01656","title":"Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning","created":"2025-10-02","cited_by_count":10,"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":"2601.10712","title":"MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching","created":"2026-01-15","cited_by_count":10,"area":"lr"},{"id":"2509.22637","title":"Variational Reasoning for Language Models","created":"2025-09-26","cited_by_count":8,"area":"lr"},{"id":"2510.11184","title":"Reinforcement Learning for Tool-Integrated Interleaved Thinking towards Cross-Domain Generalization","created":"2025-10-13","cited_by_count":7,"area":"lr"},{"id":"2605.07331","title":"Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective","created":"2026-05-08","cited_by_count":7,"area":"lr"},{"id":"2510.12838","title":"A$^2$FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning","created":"2025-10-13","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":"2510.01932","title":"Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning","created":"2025-10-02","cited_by_count":5,"area":"lr"},{"id":"2601.22642","title":"Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification","created":"2026-01-30","cited_by_count":5,"area":"lr"},{"id":"2604.06777","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","created":"2026-04-08","cited_by_count":5,"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":"2511.11373","title":"MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism","created":"2025-11-14","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":"2601.22448","title":"HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning","created":"2026-01-30","cited_by_count":4,"area":"lr"},{"id":"2605.04984","title":"Self-Induced Outcome Potential: Turn-Level Credit Assignment for Agents without Verifiers","created":"2026-05-06","cited_by_count":4,"area":"lr"},{"id":"2509.25810","title":"Learning to Reason as Action Abstractions with Scalable Mid-Training RL","created":"2025-09-30","cited_by_count":3,"area":"lr"},{"id":"2510.25101","title":"KnowCoder-A1: Incentivizing Agentic Reasoning Capability with Outcome Supervision for KBQA","created":"2025-10-29","cited_by_count":3,"area":"lr"},{"id":"2512.01945","title":"Agentic Policy Optimization via Instruction-Policy Co-Evolution","created":"2025-12-01","cited_by_count":3,"area":"lr"},{"id":"2602.01103","title":"Probing RLVR training instability through the lens of objective-level hacking","created":"2026-02-01","cited_by_count":3,"area":"lr"},{"id":"2603.16448","title":"TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas","created":"2026-03-17","cited_by_count":3,"area":"lr"},{"id":"2603.18859","title":"RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models","created":"2026-03-19","cited_by_count":3,"area":"lr"},{"id":"2603.25021","title":"VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated Reasoning","created":"2026-03-26","cited_by_count":3,"area":"lr"},{"id":"2605.02178","title":"T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning","created":"2026-05-04","cited_by_count":3,"area":"lr"},{"id":"2606.19236","title":"STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability","created":"2026-06-17","cited_by_count":3,"area":"lr"},{"id":"2606.24233","title":"Latent Visual States for Efficient Multimodal Reasoning","created":"2026-06-23","cited_by_count":3,"area":"lr"},{"id":"2607.15660","title":"ToolVerse: Unlocking Massive Environments and Long-Horizon Tasks for Agentic Reinforcement Learning","created":"2026-07-17","cited_by_count":3,"area":"lr"},{"id":"2510.15719","title":"Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth","created":"2025-10-17","cited_by_count":2,"area":"lr"},{"id":"2601.08274","title":"Discovery and Reinforcement of Tool-Integrated Reasoning Chains via Rollout Trees","created":"2026-01-13","cited_by_count":2,"area":"lr"},{"id":"2604.08281","title":"When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning","created":"2026-04-09","cited_by_count":2,"area":"lr"},{"id":"2605.06326","title":"Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning","created":"2026-05-07","cited_by_count":2,"area":"lr"},{"id":"2605.09931","title":"PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning","created":"2026-05-11","cited_by_count":2,"area":"lr"},{"id":"2601.14696","title":"AdaTIR: Adaptive Tool-Integrated Reasoning via Difficulty-Aware Policy Optimization","created":"2026-01-21","cited_by_count":1,"area":"lr"},{"id":"2602.19069","title":"Asking the Right Questions: Improving Reasoning with Generated Stepping Stones","created":"2026-02-22","cited_by_count":1,"area":"lr"},{"id":"2604.18235","title":"Negative Advantages Is a Double-Edged Sword: Calibrating advantages in GRPO for Search Agents","created":"2026-04-20","cited_by_count":1,"area":"lr"},{"id":"2605.18500","title":"Implicit Hierarchical GRPO: Decoupling Tool Invocation from Execution for Tool-Integrated Mathematical Reasoning","created":"2026-05-18","cited_by_count":1,"area":"lr"},{"id":"2608.18682","title":"RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Training","created":"2026-08-19","cited_by_count":1,"area":"lr"},{"id":"2510.06825","title":"Adaptive Tool Generation with Models as Tools and Reinforcement Learning","created":"2025-10-08","cited_by_count":0,"area":"lr"},{"id":"2605.09544","title":"TIDE-Bench: Task-Aware and Diagnostic Evaluation of Tool-Integrated Reasoning","created":"2026-05-10","cited_by_count":0,"area":"lr"},{"id":"2605.10754","title":"The Agent Use of Agent Beings: Agent Cybernetics Is the Missing Science of Foundation Agents","created":"2026-05-11","cited_by_count":0,"area":"lr"},{"id":"2605.26924","title":"Learning to Adapt SFT Data for Better Reasoning Generalization","created":"2026-05-26","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":"2607.14547","title":"AdaTurn: Budget-Aware Test-Time Scaling for Active Visual Perception Agents","created":"2026-07-16","cited_by_count":0,"area":"lr"},{"id":"2608.21863","title":"HiDiffTIR: Hierarchical Difficulty-Aware Policy Optimization for Multi-Turn Tool-Integrated Reasoning","created":"2026-08-22","cited_by_count":0,"area":"lr"},{"id":"2609.16268","title":"Spurious Tool Use: When RL Agents Learn the Wrong Reason to Act","created":"2026-09-14","cited_by_count":0,"area":"lr"},{"id":"2609.20089","title":"UnifiedPlayers: Enhance Tool-Integrated Reasoning in Agentic Reinforcement Learning","created":"2026-09-17","cited_by_count":0,"area":"lr"},{"id":"2609.33323","title":"Agentic Multi-Turn Reasoning: A Fairness Approach","created":"2026-09-27","cited_by_count":0,"area":"lr"}],"next_cursor":null}