{"total":58,"rows":[{"id":"2505.24760","title":"REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards","created":"2025-05-30","cited_by_count":130,"area":null},{"id":"2510.08558","title":"Agent Learning via Early Experience","created":"2025-10-09","cited_by_count":85,"area":null},{"id":"2505.15146","title":"lmgame-Bench: How Good are LLMs at Playing Games?","created":"2025-05-21","cited_by_count":55,"area":null},{"id":"2509.16679","title":"Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle","created":"2025-09-20","cited_by_count":35,"area":null},{"id":"2506.10406","title":"PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier","created":"2025-06-12","cited_by_count":28,"area":null},{"id":"2505.24480","title":"Towards Effective Code-Integrated Reasoning","created":"2025-05-30","cited_by_count":23,"area":null},{"id":"2509.22638","title":"Language Models Can Learn from Verbal Feedback Without Scalar Rewards","created":"2025-09-26","cited_by_count":18,"area":null},{"id":"2505.15607","title":"From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning","created":"2025-05-21","cited_by_count":17,"area":null},{"id":"2603.08561","title":"RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback","created":"2026-03-09","cited_by_count":17,"area":null},{"id":"2509.12618","title":"ActiveVLN: Towards Active Exploration via Multi-Turn RL in Vision-and-Language Navigation","created":"2025-09-16","cited_by_count":13,"area":null},{"id":"2505.22961","title":"ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind","created":"2025-05-29","cited_by_count":12,"area":null},{"id":"2511.13091","title":"STEP: Success-Rate-Aware Trajectory-Efficient Policy Optimization","created":"2025-11-17","cited_by_count":12,"area":null},{"id":"2509.21826","title":"ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models","created":"2025-09-26","cited_by_count":10,"area":null},{"id":"2601.22964","title":"EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning","created":"2026-01-30","cited_by_count":8,"area":null},{"id":"2506.19794","title":"Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study","created":"2025-06-24","cited_by_count":7,"area":null},{"id":"2602.06448","title":"Principle-Evolvable Scientific Discovery via Uncertainty Minimization","created":"2026-02-06","cited_by_count":7,"area":null},{"id":"2603.05863","title":"ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning","created":"2026-03-06","cited_by_count":7,"area":null},{"id":"2512.07287","title":"Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic-Procedural Memory","created":"2025-12-08","cited_by_count":6,"area":null},{"id":"2601.10029","title":"PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization","created":"2026-01-15","cited_by_count":5,"area":null},{"id":"2602.12351","title":"LongNav-R1: Horizon-Adaptive Multi-Turn RL for Long-Horizon VLA Navigation","created":"2026-02-12","cited_by_count":5,"area":null},{"id":"2603.23550","title":"Implicit Turn-Wise Policy Optimization for Proactive User-LLM Interaction","created":"2026-03-21","cited_by_count":4,"area":null},{"id":"2605.29563","title":"Planning with the Views","created":"2026-05-28","cited_by_count":3,"area":null},{"id":"2606.24893","title":"AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents","created":"2026-05-29","cited_by_count":3,"area":null},{"id":"2608.06144","title":"FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows","created":"2026-08-06","cited_by_count":3,"area":null},{"id":"2602.07839","title":"TodoEvolve: Learning to Architect Agent Planning Systems","created":"2026-02-08","cited_by_count":2,"area":null},{"id":"2602.17497","title":"Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models","created":"2026-02-19","cited_by_count":2,"area":null},{"id":"2605.14212","title":"MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning","created":"2026-05-14","cited_by_count":2,"area":null},{"id":"2607.28638","title":"Learning Stateful Predictive Knowledge From Experience","created":"2026-05-19","cited_by_count":2,"area":null},{"id":"2608.14441","title":"PACE-Bench: Benchmarking Physics Adaptation via Code Evolution in Dynamic Environments","created":"2026-08-14","cited_by_count":2,"area":null},{"id":"2507.13285","title":"Multi-Agent Synergy-Driven Iterative Visual Narrative Synthesis","created":"2025-07-17","cited_by_count":1,"area":null},{"id":"2508.04691","title":"Before Humans Join the Team: Diagnosing Coordination Failures in Healthcare Robot Team Simulation","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2508.10839","title":"Reinforced Language Models for Sequential Decision Making","created":"2025-08-14","cited_by_count":1,"area":null},{"id":"2601.14456","title":"On the Generalization Gap in LLM Planning: Tests and Verifier-Reward RL","created":"2026-01-20","cited_by_count":1,"area":null},{"id":"2604.23838","title":"JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training","created":"2026-04-26","cited_by_count":1,"area":null},{"id":"2605.17792","title":"HydroAgent: Closing the Gap Between Frontier LLMs and Human Experts in Hydrologic Model Calibration via Simulator-Grounded RL","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2606.20475","title":"Marginal Advantage Accumulation for Memory-Driven Agent Self-Evolution","created":"2026-06-18","cited_by_count":1,"area":null},{"id":"2607.16412","title":"Interactive Task Alignment as a POMDP","created":"2026-07-17","cited_by_count":1,"area":null},{"id":"2608.03499","title":"WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks","created":"2026-08-04","cited_by_count":1,"area":null},{"id":"2608.17319","title":"Wuying-Browser-Agent: Real-World Centric Fundamental Long-Horizon Browser Agents","created":"2026-08-18","cited_by_count":1,"area":null},{"id":"2601.04563","title":"A Vision for Multisensory Intelligence: Sensing, Science, and Synergy","created":"2026-01-08","cited_by_count":0,"area":null},{"id":"2604.14518","title":"Mind DeepResearch Technical Report","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2606.04389","title":"When Clients Stop Following: A Cognitive Conceptualization Diagram-driven Framework for Strategic Counseling","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.17511","title":"MagicSim: A Unified Infrastructure for Executable Embodied Interaction","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2607.20489","title":"EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQL","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2607.20668","title":"From Agent Failures to Text Policies: What Works and What Breaks","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2607.23771","title":"Training Language Models to Cooperate with Inference-Time Controllers","created":"2026-07-26","cited_by_count":0,"area":null},{"id":"2609.04678","title":"Train What You Deploy:Token-Faithful Post-Training of a Production Coding","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.20715","title":"Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.26355","title":"PACT: From Credit Assignment to Critic Alignment","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.33589","title":"TGRL: Temperature-Grouped Reinforcement Learning for Efficient Exploration in LLMs","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.39909","title":"DoGBench: Can Agents Meet Expert Standards for User-Facing Documentation?","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.02023","title":"SPHERE: Adaptive VR Indoor Scene Generation via LLM-Enhanced Spatial Preference Learning and Human-in-the-Loop RL","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.03190","title":"Not Until the Evidence Says So: Teaching LLM Investigators When to Close a Case","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.04441","title":"LocusRL: Diagnosing LLM Reward and Policy Interventions in Competitive Games","created":"2026-10-03","cited_by_count":0,"area":null},{"id":"2610.05383","title":"Sibyl: An Efficient Small-large Model Collaboration Framework for Long-horizon Tasks","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.14737","title":"PTGPO: Prefix Tree Group Policy Optimization","created":"2026-10-10","cited_by_count":0,"area":null},{"id":"2610.16027","title":"Of Errors and Echoes: Responsibility-Aware Credit Assignment for Tool-Use Agents","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.17666","title":"DeltaTTG: Training Multi-Turn Agents with a Token-to-Go Progress Meter","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}