{"total":35,"rows":[{"id":"2412.14171","title":"Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces","created":"2024-12-18","cited_by_count":611,"area":"lr"},{"id":"2505.10978","title":"Group-in-Group Policy Optimization for LLM Agent Training","created":"2025-05-16","cited_by_count":497,"area":"lr"},{"id":"2509.25140","title":"ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory","created":"2025-09-29","cited_by_count":284,"area":"lr"},{"id":"2412.04454","title":"Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction","created":"2024-12-05","cited_by_count":278,"area":"lr"},{"id":"2506.15841","title":"MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents","created":"2025-06-18","cited_by_count":238,"area":"lr"},{"id":"2408.07199","title":"Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents","created":"2024-08-13","cited_by_count":208,"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":"2406.09187","title":"GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning","created":"2024-06-13","cited_by_count":124,"area":"lr"},{"id":"2503.15478","title":"SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks","created":"2025-03-19","cited_by_count":118,"area":"lr"},{"id":"2310.01320","title":"Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation","created":"2023-10-02","cited_by_count":104,"area":"lr"},{"id":"2311.11797","title":"Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents","created":"2023-11-20","cited_by_count":72,"area":"lr"},{"id":"2507.05720","title":"MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment","created":"2025-07-08","cited_by_count":52,"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":"2505.05849","title":"AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents","created":"2025-05-09","cited_by_count":42,"area":"lr"},{"id":"2505.19683","title":"Large Language Models for Planning: A Comprehensive and Systematic Survey","created":"2025-05-26","cited_by_count":40,"area":"lr"},{"id":"2410.18963","title":"OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning","created":"2024-10-24","cited_by_count":38,"area":"lr"},{"id":"2505.16854","title":"Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models","created":"2025-05-22","cited_by_count":30,"area":"lr"},{"id":"2509.23866","title":"Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation","created":"2025-09-28","cited_by_count":26,"area":"lr"},{"id":"2507.17842","title":"Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning","created":"2025-07-23","cited_by_count":19,"area":"lr"},{"id":"2512.04307","title":"Evaluating Long-Context Reasoning in LLM-Based WebAgents","created":"2025-12-03","cited_by_count":15,"area":"lr"},{"id":"2505.11063","title":"Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction","created":"2025-05-16","cited_by_count":14,"area":"lr"},{"id":"2505.17815","title":"Evaluation Faking: Unveiling Observer Effects in Safety Evaluation of Frontier AI Systems","created":"2025-05-23","cited_by_count":14,"area":"lr"},{"id":"2601.09770","title":"GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents","created":"2026-01-14","cited_by_count":10,"area":"lr"},{"id":"2405.11120","title":"Latent State Estimation Helps UI Agents to Reason","created":"2024-05-17","cited_by_count":9,"area":"lr"},{"id":"2601.05432","title":"Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization","created":"2026-01-08","cited_by_count":9,"area":"lr"},{"id":"2505.22942","title":"WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning","created":"2025-05-28","cited_by_count":8,"area":"lr"},{"id":"2510.19838","title":"Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory","created":"2025-10-18","cited_by_count":6,"area":"lr"},{"id":"2510.19245","title":"See, Think, Act: Online Shopper Behavior Simulation with VLM Agents","created":"2025-10-22","cited_by_count":5,"area":"lr"},{"id":"2510.16252","title":"WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale","created":"2025-10-17","cited_by_count":3,"area":"lr"},{"id":"2510.17491","title":"Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents","created":"2025-10-20","cited_by_count":2,"area":"lr"},{"id":"2604.17821","title":"WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent","created":"2026-04-20","cited_by_count":2,"area":"lr"},{"id":"2605.13037","title":"MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning","created":"2026-05-13","cited_by_count":2,"area":"lr"},{"id":"2507.19854","title":"Think, Act, Learn: A Framework for Autonomous Robotic Agents using Closed-Loop Large Language Models","created":"2025-07-26","cited_by_count":1,"area":"lr"},{"id":"2602.20502","title":"ActionEngine: From Reactive to Programmatic GUI Agents via State Machine Memory","created":"2026-02-24","cited_by_count":1,"area":"lr"},{"id":"2608.00335","title":"RMSWeb: Reflection, Failure-Mode Mining, and Salvage-DS for Web Agent Reinforcement Learning","created":"2026-07-31","cited_by_count":0,"area":"lr"}],"next_cursor":null}