{"total":35,"rows":[{"id":"2303.17491","title":"Language Models can Solve Computer Tasks","created":"2023-03-30","cited_by_count":372,"area":null},{"id":"2307.12856","title":"A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis","created":"2023-07-24","cited_by_count":353,"area":null},{"id":"2307.10169","title":"Challenges and Applications of Large Language Models","created":"2023-07-19","cited_by_count":254,"area":null},{"id":"2311.07226","title":"Large Language Models for Robotics: A Survey","created":"2023-11-13","cited_by_count":133,"area":null},{"id":"2404.00282","title":"Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods","created":"2024-03-30","cited_by_count":116,"area":null},{"id":"2306.00937","title":"STEVE-1: A Generative Model for Text-to-Behavior in Minecraft","created":"2023-06-01","cited_by_count":97,"area":null},{"id":"2404.10179","title":"Scaling Instructable Agents Across Many Simulated Worlds","created":"2024-03-13","cited_by_count":71,"area":null},{"id":"2406.06485","title":"Can Language Models Serve as Text-Based World Simulators?","created":"2024-06-10","cited_by_count":52,"area":null},{"id":"2401.02500","title":"On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)","created":"2024-01-04","cited_by_count":40,"area":null},{"id":"2303.16563","title":"Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks","created":"2023-03-29","cited_by_count":36,"area":null},{"id":"2312.08566","title":"Learning adaptive planning representations with natural language guidance","created":"2023-12-13","cited_by_count":36,"area":null},{"id":"2505.05108","title":"Multi-agent Embodied AI: Advances and Future Directions","created":"2025-05-08","cited_by_count":36,"area":null},{"id":"2402.19299","title":"RL-GPT: Integrating Reinforcement Learning and Code-as-policy","created":"2024-02-29","cited_by_count":32,"area":null},{"id":"2402.03244","title":"Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills","created":"2024-02-05","cited_by_count":26,"area":null},{"id":"2306.08094","title":"Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning","created":"2023-06-13","cited_by_count":20,"area":null},{"id":"2401.04124","title":"MobileAgent: enhancing mobile control via human-machine interaction and SOP integration","created":"2024-01-04","cited_by_count":18,"area":null},{"id":"2405.19883","title":"From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems","created":"2024-05-30","cited_by_count":17,"area":null},{"id":"2312.08958","title":"LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers","created":"2023-12-14","cited_by_count":14,"area":null},{"id":"2309.17176","title":"AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback","created":"2023-09-29","cited_by_count":10,"area":null},{"id":"2307.11922","title":"Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors","created":"2023-07-21","cited_by_count":9,"area":null},{"id":"2407.09502","title":"From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models","created":"2024-06-14","cited_by_count":8,"area":null},{"id":"2507.21162","title":"Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems","created":"2025-07-25","cited_by_count":7,"area":null},{"id":"2308.13542","title":"LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying","created":"2023-08-21","cited_by_count":5,"area":null},{"id":"2503.10628","title":"Uncertainty in Action: Confidence Elicitation in Embodied Agents","created":"2025-03-13","cited_by_count":5,"area":null},{"id":"2510.08962","title":"Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation","created":"2025-10-10","cited_by_count":5,"area":null},{"id":"2401.07553","title":"Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models","created":"2024-01-15","cited_by_count":4,"area":null},{"id":"2407.09048","title":"KUNPENG: An Embodied Large Model for Intelligent Maritime","created":"2024-07-12","cited_by_count":4,"area":null},{"id":"2601.21212","title":"Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning","created":"2026-01-29","cited_by_count":3,"area":null},{"id":"2503.12974","title":"Exploring 3D Reasoning-Driven Planning: From Implicit Human Intentions to Route-Aware Activity Planning","created":"2025-03-17","cited_by_count":2,"area":null},{"id":"2502.15147","title":"Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision","created":"2025-02-21","cited_by_count":1,"area":null},{"id":"2509.00074","title":"Language and Experience: A Computational Model of Social Learning in Complex Tasks","created":"2025-08-26","cited_by_count":1,"area":null},{"id":"2510.20641","title":"Integrating Machine Learning into Belief-Desire-Intention Agents: Current Advances and Open Challenges","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2507.21589","title":"Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2605.07325","title":"CSR: Infinite-Horizon Real-Time Policies with Massive Cached State Representations","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2609.22691","title":"Generative Embodied Multiple Behavior Control Systems for Human-like Agents","created":"2026-09-19","cited_by_count":0,"area":null}],"next_cursor":null}