LLM Agent Skill Learning

LLM: Large Language Model

Follow this topic Ask about this topic

Momentum

45 papers in the last four weeks, up 114% on the four weeks before. 0.4% of all new papers.

Jul 13Week of Sep 28

Latest papers 271

All topics

Learning and Reusing Policy Decompositions for Hierarchical Generalized Planning with LLM Agents
May 7, 2026Shirin Sohrabi, Haritha Ananthakrishnan, Harsha Kokel +2LLM Agent Skill Learning Policy Learning
IBM
SkillOS: Learning Skill Curation for Self-Evolving Agents
May 7, 2026Siru Ouyang, Jun Yan, Yanfei Chen +13Continual Learning for LLM Agents LLM Agent Skill Learning
University of Illinois Urbana-Champaign · Google Cloud AI Research · Massachusetts Institute of Technology
Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
May 7, 2026Yaorui Shi, Yuxin Chen, Zhengxi Lu +6LLM Agent Skill Learning LLM Agent Skill Retrieval
University of Science and Technology of China · 2Meituan · 3National University of Singapore +2
From History to State: Constant-Context Skill Learning for LLM Agents
May 6, 2026Haoyang Xie, Xinyuan Wang, Yancheng Wang +2LLM Agent Skill Learning LLM Agent Training
School of Computing and Augmented Intelligence, Arizona State University
HeavySkill: Heavy Thinking as the Inner Skill in Agentic Harness
May 4, 2026Jianing Wang, Linsen Guo, Zhengyu Chen +8RL for Language Model Reasoning Test-Time Scaling
Meituan LongCat Team · National Engineering Research Center for Software Engineering, Peking University, Beijing, China
Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks
May 2, 2026Jie-Jing Shao, Haiyan Yin, Yueming Lyu +5Program Synthesis LLM Agent Skill Learning
State Key Laboratory of Novel Software Technology, Nanjing University, China · Centre for Frontier AI Research, and Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore · School of Intelligence Science and Technology, Nanjing University, China +2
Skills-Coach: A Self-Evolving Skill Optimizer via Training-Free GRPO
Apr 30, 2026Yu Tian, Jiawei Chen, Lifan Zheng +5LLM Agent Self-Improvement LLM Agent Skill Learning
University of Chinese Academy of Sciences · 2East China Normal University · 3Zhongguancun Academy +3
DRIVE: Modeling Skills at the Reasoning and Interaction Levels for Web Agents under Continual Learning
Apr 28, 2026Xirui Liu, Sihang Zhou, Yanning Hou +6Continual Learning for LLM Agents LLM Agent Skill Learning
College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073, Hunan, China · College of Computer Science and Technology, National University of Defense Technology, Changsha, 410073, Hunan, China
From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills
Apr 27, 2026Qiliang Liang, Hansi Wang, Zhong Liang +1LLM Agent Skill Learning Knowledge Representation
Key Laboratory of Computational Linguistics, Ministry of Education, Peking University · School of Computer Science, Peking University · Department of Chinese Language and Literature, Peking University
ClawTrace: Cost-Aware Tracing for LLM Agent Skill Distillation
Apr 26, 2026Boqin Yuan, Yue Su, Renchu Song +2LLM Agent Evaluation LLM Agent Skill Learning
University of California San Diego · San Diego, CA · Carnegie Mellon University +3
LEGO: An LLM Skill-Based Front-End Design Generation Platform
Apr 25, 2026Jincheng Lou, Ruohan Xu, Jiecheng Ma +3Electronic Design Automation Code Generation
School of IC, Peking University · School of EECS, Peking University · School of Microelectronics, Xidian University +2
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks
Apr 22, 2026Xiyang Wu, Zongxia Li, Guangyao Shi +5Continual Learning for LLM Agents Game-Playing Agents
University of Maryland · University of Southern California · Good Start Labs +2
Ask Only When Needed: Proactive Retrieval from Memory and Skills for Experience-Driven Lifelong Agents
Apr 22, 2026Yuxuan Cai, Wei Li, Jie Zhou +4Lifelong Learning Agents LLM Agent Skill Learning
School of Computer Science and Technology, East China Normal University, Shanghai · Shanghai AI Laboratory
EvoAgent: An Evolvable Agent Framework with Skill Learning and Multi-Agent Delegation
Apr 22, 2026Aimin Zhang, Jiajing Guo, Fuwei Jia +3Multi-Agent LLM Systems LLM Agent Skill Learning
Focus AI Center, Focus Technology Co., Ltd. · Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology · Nanjing University of Science and Technology
SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks
Apr 22, 2026Shanshan Zhong, Yi Lu, Jingjie Ning +7Continual Learning for LLM Agents LLM Agent Evaluation
Carnegie Mellon University · Amazon AGI
AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization
Apr 21, 2026Xidong Wu, Yue Zhuan, Ruoqiao Wei +7Multi-Agent LLM Systems Multi-Agent System Optimization
Google Mountain View, California, USA
From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning
Apr 21, 2026Beining Wu, Fuyou Mao, Jiong Lin +7Generative Engine Optimization LLM Agent Skill Learning
Hangzhou Dianzi University · Central South University · Shanghai Artificial Intelligence Laboratory +3
AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum
Apr 20, 2026Jiaqi Li, Lvyang Zhang, Yang Zhao +2LLM Agent Skill Learning Curriculum Learning
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China
GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0)
Apr 18, 2026Jiaqing Liang, Jinyi Han, Weijia Li +15Tool-Augmented Language Model Agents LLM Agent Memory
Advantage AI Agent Lab (A3 Lab)
Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents
Apr 17, 2026Xing Zhang, Guanghui Wang, Yanwei Cui +4LLM Agent Memory LLM Agent Skill Learning
AWS Generative AI Innovation Center · HSBC Holdings Plc., HSBC Technology Center, China.
Bilevel Optimization of Agent Skills via Monte Carlo Tree Search
Apr 17, 2026Chenyi Huang, Haoting Zhang, Jingxu Xu +2Large Language Model-Guided Optimization LLM Agent Skill Learning
Department of Mathematics National University of Singapore Singapore · Department of Industrial Engineering and Operations Research University of California at Berkeley CA, USA · Department of Decision, Operation and Technology The Chinese University of Hong Kong CHINA
From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution
Apr 16, 2026Junjie Wang, Yiming Ren, Haoyang ZhangEvolutionary Optimization LLM Agent Skill Learning
Independent Researcher · Infinite Evolution Lab, EvoMap
Dr. RTL: Autonomous Agentic RTL Optimization through Tool-Grounded Self-Improvement
Apr 16, 2026Wenji Fang, Yao Lu, Shang Liu +5Large Language Model-Guided Optimization Electronic Design Automation
Hong Kong University of Science and Technology (HKUST)
Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG
Apr 16, 2026Yiqun Sun, Pengfei Wei, Lawrence B. HsiehRetrieval-Augmented Generation LLM Agent Skill Learning
Magellan Technology Research Institute (MTRI)
WebXSkill: Skill Learning for Autonomous Web Agents
Apr 14, 2026Zhaoyang Wang, Qianhui Wu, Xuchao Zhang +12LLM Agent Skill Learning Long-Horizon LLM Agents
University of North Carolina at Chapel Hill · Microsoft
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
Feb 9, 2026Peng Xia, Jianwen Chen, Hanyang Wang +10LLM Agent Skill Learning RL for LLM Agents
UNC-Chapel Hill · University of Chicago · University of California San Diego +3
SCRIBE: Structured Mid-Level Supervision for Tool-Using Language Models
Jan 7, 2026Yuxuan Jiang, Francis FerraroProcess Reward Models RL for Language Model Reasoning
University of Maryland, Baltimore County
Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization
Feb 3, 2025Minttu Alakuijala, Ya Gao, Georgy Ananov +4Continual Learning for LLM Agents LLM Agent Skill Learning
Department of Computer Science, Aalto University · Department of Computer Science, University of Manchester · System 2 AI
AppAgent: Multimodal Agents as Smartphone Users
Dec 21, 2023Chi Zhang, Zhao Yang, Jiaxuan Liu +6Computer-Use Agents LLM Agent Skill Learning
Tencent
SimSkill: A Self-Evolving LLM Agent for Skill and Knowledge Accumulation in Traffic Simulation
Date pendingQi Liu, Qinzheng Wang, Can Li +2Continual Learning for LLM Agents LLM Agent Self-Improvement
School of Transportation, Jilin University, 5988 Renmin St., Changchun, Jilin 130022, China · Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation, Tongji University, 4800 Cao’an Rd., Shanghai 201804, China

May 7, 2026, cs.AIJ/K move · Enter open · S save

Learning and Reusing Policy Decompositions for Hierarchical Generalized Planning with LLM Agents

Shirin Sohrabi, Haritha Ananthakrishnan, Harsha Kokel, Kavitha Srinivas+1

IBM

LLM Agent Skill Learning Policy Learning LLM Agent Planning

Open paper AskPDF arXiv

We present a dynamic policy-learning approach that combines generalized planning and hierarchical task decomposition for LLM-based agents. Our method, Hierarchical Component Learning for Generalized Policies (HCL-GP ), learns parameterized policies that generalize across task instances and automatically extracts reusable components from successful executions, organizing them into a component library for compositional policy generation. We address three challenges: (1) learning components through automated decomposition, (2) generalizing components to maximize reuse, and (3) efficient retrieval via semantic search. Evaluated on the AppWorld benchmark, our approach achieves 98.2% accuracy on normal tasks and 97.8% on challenge tasks with unseen applications, improving 15.8 points over static synthesis on challenging scenarios. For open-source models, dynamic reuse enables 62.5% success versus near-zero without reuse. This demonstrates that classical planning concepts can be effectively integrated with LLM agents for improved accuracy and efficiency.

Momentum

Related topics

Latest papers 271