{"total":36,"rows":[{"id":"2504.07079","title":"SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills","created":"2025-04-09","cited_by_count":192,"area":"agents"},{"id":"2404.02039","title":"A Survey on Large Language Model-Based Game Agents","created":"2024-04-02","cited_by_count":112,"area":"agents"},{"id":"2406.08184","title":"MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents","created":"2024-06-12","cited_by_count":63,"area":"agents"},{"id":"2410.02907","title":"NNetNav: Unsupervised Learning of Browser Agents Through Environment Interaction in the Wild","created":"2024-10-03","cited_by_count":59,"area":"agents"},{"id":"2607.00272","title":"ASPIRE: Agentic /Skills Discovery for Robotics","created":"2026-06-30","cited_by_count":53,"area":"agents"},{"id":"2412.13194","title":"Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents","created":"2024-12-17","cited_by_count":50,"area":"agents"},{"id":"2403.12014","title":"EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents","created":"2024-03-18","cited_by_count":46,"area":"agents"},{"id":"2403.08140","title":"BAGEL: Bootstrapping Agents by Guiding Exploration with Language","created":"2024-03-12","cited_by_count":34,"area":"agents"},{"id":"2512.04797","title":"SIMA 2: A Generalist Embodied Agent for Virtual Worlds","created":"2025-12-04","cited_by_count":31,"area":"agents"},{"id":"2305.12487","title":"Augmenting Autotelic Agents with Large Language Models","created":"2023-05-21","cited_by_count":30,"area":"agents"},{"id":"2311.13373","title":"Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents","created":"2023-11-22","cited_by_count":30,"area":"agents"},{"id":"2407.15325","title":"Odyssey: Empowering Minecraft Agents with Open-World Skills","created":"2024-07-22","cited_by_count":26,"area":"agents"},{"id":"2402.04210","title":"Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors","created":"2024-02-06","cited_by_count":25,"area":"agents"},{"id":"2411.04679","title":"CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation","created":"2024-11-07","cited_by_count":12,"area":"agents"},{"id":"2506.04287","title":"Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback","created":"2025-06-04","cited_by_count":12,"area":"agents"},{"id":"2402.00262","title":"Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective","created":"2024-02-01","cited_by_count":11,"area":"agents"},{"id":"2410.23022","title":"Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback","created":"2024-10-30","cited_by_count":10,"area":"agents"},{"id":"2311.05596","title":"LLM Augmented Hierarchical Agents","created":"2023-11-09","cited_by_count":9,"area":"agents"},{"id":"2409.11276","title":"Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments","created":"2024-09-17","cited_by_count":9,"area":"agents"},{"id":"2410.02511","title":"Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration","created":"2024-10-03","cited_by_count":9,"area":"agents"},{"id":"2410.03997","title":"YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning","created":"2024-10-05","cited_by_count":9,"area":"agents"},{"id":"2505.05762","title":"Multi-Agent Systems for Robotic Autonomy with LLMs","created":"2025-05-09","cited_by_count":9,"area":"agents"},{"id":"2305.10865","title":"Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning","created":"2023-05-18","cited_by_count":8,"area":"agents"},{"id":"2401.00006","title":"Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation","created":"2023-12-12","cited_by_count":6,"area":"agents"},{"id":"2410.12481","title":"SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling","created":"2024-10-16","cited_by_count":5,"area":"agents"},{"id":"2404.18978","title":"Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs","created":"2024-04-29","cited_by_count":4,"area":"agents"},{"id":"2505.08448","title":"Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language Models","created":"2025-05-13","cited_by_count":4,"area":"agents"},{"id":"2602.23876","title":"RF-Agent: Automated Reward Function Design via Language Agent Tree Search","created":"2026-02-27","cited_by_count":4,"area":"agents"},{"id":"2405.16854","title":"Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning","created":"2024-05-27","cited_by_count":3,"area":"agents"},{"id":"2501.01834","title":"MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning","created":"2025-01-03","cited_by_count":2,"area":"agents"},{"id":"2410.08632","title":"Words as Beacons: Guiding RL Agents with High-Level Language Prompts","created":"2024-10-11","cited_by_count":1,"area":"agents"},{"id":"2510.02369","title":"AutoContext: Instance-Level Context Learning for LLM Agents","created":"2025-09-29","cited_by_count":1,"area":"agents"},{"id":"2608.18008","title":"Policy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL Agents","created":"2026-08-18","cited_by_count":1,"area":"agents"},{"id":"2508.14751","title":"HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents","created":"2025-08-20","cited_by_count":0,"area":"agents"},{"id":"2602.17930","title":"MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance","created":"2026-02-20","cited_by_count":0,"area":"agents"},{"id":"2609.10036","title":"Belief-State Engine: Augmenting LLMs for Principled Planning Under Partial Observability","created":"2026-09-09","cited_by_count":0,"area":"agents"}],"next_cursor":null}