{"total":31,"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":"2505.16421","title":"WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning","created":"2025-05-22","cited_by_count":165,"area":"lr"},{"id":"2505.23885","title":"OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation","created":"2025-05-29","cited_by_count":131,"area":"lr"},{"id":"2512.17102","title":"Reinforcement Learning for Self-Improving Agent with Skill Library","created":"2025-12-18","cited_by_count":100,"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":"2507.09477","title":"Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs","created":"2025-07-13","cited_by_count":42,"area":"lr"},{"id":"2508.18588","title":"History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL","created":"2025-08-26","cited_by_count":38,"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":"2509.03581","title":"Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents","created":"2025-09-03","cited_by_count":20,"area":"lr"},{"id":"2505.11827","title":"Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning","created":"2025-05-17","cited_by_count":16,"area":"lr"},{"id":"2504.13828","title":"Generative AI Act II: Test Time Scaling Drives Cognition Engineering","created":"2025-04-18","cited_by_count":15,"area":"lr"},{"id":"2507.08960","title":"How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs","created":"2025-07-11","cited_by_count":12,"area":"lr"},{"id":"2510.19225","title":"RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs","created":"2025-10-22","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":"2508.10548","title":"Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards","created":"2025-08-14","cited_by_count":5,"area":"lr"},{"id":"2510.15191","title":"Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning","created":"2025-10-16","cited_by_count":5,"area":"lr"},{"id":"2605.17877","title":"PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization","created":"2026-05-18","cited_by_count":5,"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":"2601.17982","title":"SD-E$^2$: Semantic Exploration for Reasoning Under Token Budgets","created":"2026-01-25","cited_by_count":3,"area":"lr"},{"id":"2608.01667","title":"TCPO: Turn-Level Credit Policy Optimization","created":"2026-08-03","cited_by_count":3,"area":"lr"},{"id":"2507.04099","title":"Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching","created":"2025-07-05","cited_by_count":2,"area":"lr"},{"id":"2509.20616","title":"Training Task Reasoning LLM Agents for Multi-turn Task Planning via Single-turn Reinforcement Learning","created":"2025-09-24","cited_by_count":2,"area":"lr"},{"id":"2602.06475","title":"Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning","created":"2026-02-06","cited_by_count":1,"area":"lr"},{"id":"2603.13256","title":"Training-Free Agentic AI: Probabilistic Control and Coordination in Multi-Agent LLM Systems","created":"2026-02-24","cited_by_count":1,"area":"lr"},{"id":"2604.17419","title":"ARMove: Learning to Predict Human Mobility through Agentic Reasoning","created":"2026-04-19","cited_by_count":1,"area":"lr"},{"id":"2606.16733","title":"A First-Principles Derivation of LLM Policy Optimization: From Expected Reward to GRPO and Its Structural Extensions","created":"2026-06-15","cited_by_count":1,"area":"lr"},{"id":"2607.21971","title":"Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning","created":"2026-07-24","cited_by_count":1,"area":"lr"},{"id":"2510.21339","title":"Multi-turn Training with Basic Human Feedback Helps Little on LLM Reasoning","created":"2025-10-24","cited_by_count":0,"area":"lr"},{"id":"2609.34344","title":"Learning to Steer, Steering to See: Unveiling the Geometry of RLVR in Large Language Models via Trainable Vectors","created":"2026-09-28","cited_by_count":0,"area":"lr"},{"id":"2610.19695","title":"C3: Rethinking Process Supervision via Confidence-Guided Credit Correction in Multi-Turn Reinforcement Learning","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}