Experience

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Experience

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Skill Evolution

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Reuse

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Reusable Agent Skills

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459 papers

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Exploratory Experience Shapes the Geometry of Predictive Representations
May 27, 2026Kseniia Shilova, Abdelrahman Sharafeldin, Advay Balakrishnan +1Predictive Coding Perception-Action Loop
ESC-Skills: Discovering and Self-Evolving Skills for Emotional Support Conversations
May 27, 2026Jie Zhu, Huaixia Dou, Shuo Jiang +5Emotional Support Skill Evolution
SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment
May 27, 2026Hongxiang Lin, Zhirui Kuai, Erpeng Xue +1Unsupervised Skill Discovery Skill Evolution
PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft
May 26, 2026Yuchen Guo, Junli Gong, Weicheng Wang +3Agent Memory Self-Evolving Agents
SkillGrad: Optimizing Agent Skills Like Gradient Descent
May 26, 2026Hanyu Wang, Yifan Lan, Bochuan Cao +2Skill Evolution Large Language Model Agents
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
May 26, 2026Huawei Lin, Peng Li, Jie Song +2Skill Evolution Self-Evolving Agents
Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?
May 26, 2026Syed Huma ShahRetrieval-Augmented Generation Systems Reuse
An investigation of AI integration in sound designer workflows and experiences
May 26, 2026Nelly Garcia, Joshua ReissWorkflow Automation and Optimization Experience
Path-dependent program induction under resource constraints explains human sequence learning
May 26, 2026Hanqi Zhou, David G. Nagy, Peter Dayan +1Experience Human
Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation
May 26, 2026Zehua Pei, Hui-Ling Zhen, Yu Zhang +3Vhdl Flexible Register Transfer Level Design Automation
Exploiting Local Dynamics Regularity for Reusable Skills in Offline Hierarchical RL
May 25, 2026Sarthak Dayal, Abhinav Peri, Carl Qi +4Hierarchical Reinforcement Learning Reusable Skills
Managing Uncertainty in LLM-Generated Procedural Knowledge for Virtual Laboratory Planning
May 25, 2026Polychronis Karpodinis, Dimitris KallesLlm-Driven Large Language Model Uncertainty
Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
May 25, 2026Zixin Jessie Chen, Zhuo Chen, Archer Wang +4Super-Resolution Framework Large-Scale Image Generation
Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models
May 25, 2026Qingyuan Zeng, Pengxiang Cai, Zixin Guan +5Drug-Drug Interactions Reuse
Tetris: Tile-level Sampling for Efficient and High-Fidelity Video Object Tracking
May 25, 2026Chanwut Kittivorawong, Alena Chao, Charlie Si +1Multi-Object Tracking Video Dataset
ATWL: A Formal Language for Representing, Comparing, and Reusing Visual Analytics Workflows
May 25, 2026Natalia Andrienko, Gennady Andrienko, Jürgen Bernard +1Workflow Automation and Optimization Visual Analytics
CODESKILL: Learning Self-Evolving Skills for Coding Agents
May 25, 2026Yanzhou Li, Yiran Zhang, Xiaoyu Zhang +2Skill Evolution Reusable Skills
Choosing Online Experiment Designs under Interference in Ads, Recommendations, and Member-Experience Systems
May 24, 2026Prashant Shekhar, Caroline HowardBayesian Experimental Design Optimal Design
Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance
May 24, 2026Chengrui Li, Rujing Li, Yitong Bai +1Multi-Turn Tool-Use Agent Multi-Agent Systems
Partner-Aware Hierarchical Skill Discovery for Robust Human-AI Collaboration
May 23, 2026Adnan Ahmad, Bahareh Nakisa, Mohammad Naim RastgooHuman-Ai Collaboration Unsupervised Skill Discovery
From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression
May 23, 2026Ziyan Chen, Zhongzhu Zhou, Ding-Xuan ZhouMini-Batch Stochastic Gradient Descent Stochastic Gradient Descent
SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills
May 22, 2026Yingtie Lei, Zhongwei Wan, Jiankun Zhang +13Skill Evolution Reusable Skills
SkillOpt: Executive Strategy for Self-Evolving Agent Skills
May 22, 2026Yifan Yang, Ziyang Gong, Weiquan Huang +12Skillaudit Agent Loop
From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills
May 22, 2026Zisu Huang, Jingwen Xu, Yifan Yang +13Reusable Agent Skills Experience
OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents
May 22, 2026Jiahao Ying, Boxian Ai, Wei Tang +2Skillaudit Large Language Model Agents
Estimating Learners' Skill Acquisition Without Temporal Information
May 22, 2026Ryosuke Nagai, Kyohei Atarashi, Koh Takeuchi +2Unsupervised Skill Discovery Adaptive Learning
From Correctness to Preference: A Framework for Personalized Agentic Reinforcement Learning
May 22, 2026Ranxu zhang, zeyang li, Jiacheng Huang +5Agentic Reinforcement-Learning Framework Skill Evolution
Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents
May 21, 2026Ting LiuReusable Agent Skills Kernel Contracts
EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning
May 21, 2026Kailin Zhuang, Jiawei Wu, Zhi JinImage Restoration Training-Free Inference Framework
Ratchet: A Minimal Hygiene Recipe for Self-Evolving LLM Agents
May 21, 2026Xing Zhang, Yanwei Cui, Guanghui Wang +4Skill Evolution Large Language Model Agents
Echo: Learning from Experience Data via User-Driven Refinement
May 21, 2026Hande Dong, Xiaoyun Liang, Jiarui Yu +15Agentic Reinforcement-Learning Framework Experience
Trace2Skill: Verifier-Guided Skill Evolution for Long-Context EDA Agents
May 20, 2026Zijian Du, Nathaniel PinckneyVhdl Electronic Design Automation
The Impact of AI Usage and Informativeness on Skill Development in Logical Reasoning
May 20, 2026Shang Wu, Hongyu Yao, Catarina Belem +3Artificial Intelligence Literacy Unsupervised Skill Discovery
Training Language Agents to Learn from Experience
May 19, 2026Yuval Shalev, Zifeng Ding, Mateja JamnikMultilingual Agents Agentic Reinforcement-Learning Framework
Proximal State Nudging: Reducing Skill Atrophy from AI Assistance
May 19, 2026Megha Srivastava, Jonathan Ouyang, Eric Zhou +6Unsupervised Skill Discovery Autonomy
When Skills Don't Help: A Negative Result on Procedural Knowledge for Tool-Grounded Agents in Offensive Cybersecurity
May 19, 2026Samuel Jacob Chacko, James Hugglestone, Chashi Mahiul Islam +1Procedural Knowledge Decision Thresholds
What Are LLMs Doing to Scientific Communication? Measuring Changes in Writing Practices and Reading Experience
May 19, 2026Filip Miletić, Neele FalkWriting Scientific Discovery
Library Drift: Diagnosing and Fixing a Silent Failure Mode in Self-Evolving LLM Skill Libraries
May 19, 2026Xing Zhang, Yanwei Cui, Guanghui Wang +4Skill Evolution
When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVR
May 19, 2026Yuchun Miao, Sen Zhang, Yuqi Zhang +4Reinforcement Learning With Verifiable Reward Verifiable Rewards
SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents
May 18, 2026Yifan Zhou, Zhentao Zhang, Ziming Cheng +8Reusable Agent Skills Agentic Benchmarks
OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences
May 18, 2026Kaixiang Wang, Jiong Lou, Zhaojiacheng Zhou +1Language Model Evasion Attacks Poisoning
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
May 18, 2026Hongyi Liu, Haoyan Yang, Tao Jiang +4Reusable Agent Skills Agentic Search
DocOS: Towards Proactive Document-Guided Actions in GUI Agents
May 18, 2026Jingjing Liu, Ziye Huang, Zihao Cheng +6Graphical User Interface Agents Proactive
KISS - Knowledge Infrastructure for Scientific Simulation: A Scaffolding for Agentic Earth Science
May 18, 2026Ziwei Li, Liujun Zhu, Yuchen Liu +5Procedural Knowledge Geological Semantic Understanding
EXG: Self-Evolving Agents with Experience Graphs
May 18, 2026Yuxin Jin, Siyuan Zhang, Hanchen Wang +3Self-Evolving Agents Experience
Learning to Learn from Multimodal Experience
May 16, 2026Xingyu Sui, Weixiang Zhao, Yongxin Tang +4Experience-Driven Learning Multimodal Memory
BootstrapAgent: Distilling Repository Setup into Reusable Agent Knowledge
May 15, 2026Sihan Fu, Oucheng Liu, Shiyuan Wang +2Repository Cp-Agent
From Plans to Pixels: Learning to Plan and Orchestrate for Open-Ended Image Editing
May 14, 2026Anirudh Sundara Rajan, Krishna Kumar Singh, Yong Jae LeeImage Editing Instruction
Characterizing the visual representation of objects from the child's view
May 14, 2026Jane Yang, Tarun Sepuri, Alvin Wei Ming Tan +3Generalized Category Discovery Visual Representations
Prompting Policies for Multi-step Reasoning and Tool-Use in Black-box LLMs with Iterative Distillation of Experience
May 14, 2026Krishna Sayana, Ketan Todi, Ambarish JashPrior Prompt Optimization Techniques Experience
SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration
May 13, 2026Mingda Zhang, Tiesunlong Shen, Haoran Luo +4Skill Evolution Modular Agentic Framework
R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
May 13, 2026Sanghyeob Song, Donghyeok Lee, Jinsik Kim +1Representation Learning Redundancy
SkillOps: Managing LLM Agent Skill Libraries as Self-Maintaining Software Ecosystems
May 13, 2026Hongji Pu, Xinyuan Song, Liang ZhaoLarge Language Model Agents Skillaudit
MMSkills: Towards Multimodal Skills for General Visual Agents
May 13, 2026Kangning Zhang, Shuai Shao, Qingyao Li +8Multimodal Agents Reusable Agent Skills
RS-Claw: Progressive Active Tool Exploration via Hierarchical Skill Trees for Remote Sensing Agents
May 13, 2026Liangtian Liu, Zeyuan Wang, Ziyu Li +8Remote Sensing Claws
"It became a self-fulfilling prophecy": How Lived Experiences are Entangled with AI Predictions in Menstrual Cycle Tracking Apps
May 13, 2026Wendy Zhou, Pelin Karaturhan, Alexandra Weilenmann +1Experience Entanglement
FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition
May 13, 2026Geng Li, Yuxin PengFine-Grained Perception Procedural Knowledge
Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse
May 12, 2026Ling-Qi Zhang, Kristin BransonArtificial Intelligence Scientists Reproducibility
SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
May 12, 2026Xiaoyuan Li, Moxin Li, Keqin Bao +4Skill Evolution Agentic Reinforcement-Learning Framework
Proteus: A Self-Evolving Red Team for Agent Skill Ecosystems
May 12, 2026Zhaojiacheng ZhouRed-Teaming Agent Skill Ecosystems

May 27, 2026 · q-bio.NCJ/K move · Enter open · S save

Exploratory Experience Shapes the Geometry of Predictive Representations

Kseniia Shilova, Abdelrahman Sharafeldin, Advay Balakrishnan, Hannah Choi

Active sensing links behavior and learning through an action-perception loop: actions determine the observations used to update internal predictive models of perception, which subsequently guide the next actions. Predictive-coding frameworks provide a natural way to model this process, since internal representations are continuously updated to predict future observations. Here, we ask how exploratory and exploitative behavioral strategies shape these internal predictive representations. We build an online learning agent in a tree-like maze with a controllable parameter regulating the balance between exploratory and exploitative regimes. The agent updates a predictive-coding-based perception model from experience generated by its own behavior. The model predicts both future maze states and reward probability, allowing the agent to select actions either by expected information gain during exploration or by predicted reward during exploitation. We show that the resulting internal predictive representations depend strongly on the agent's behavioral regime. Exploratory agents develop representations that are more spatially organized and better preserve the structure of maze transitions in latent space. In contrast, exploitative agents learn less organized representations. We then train this predictive model on natural trajectories of water-deprived mice navigating the same maze and compare the resulting representations with those learned from agent trajectories. More exploratory mice show representational geometries that closely match those of exploratory agents, whereas mice with more restricted visitation patterns resemble reward-driven, exploitative agents. Together, these findings suggest that exploration enables predictive models to form generalized internal representations by organizing latent space around both spatial location and transition context in artificial agents and animals.

Predictive Coding Perception-Action Loop Autonomous Exploration Strategies Experience

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