:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Yu, Miao, Rui, Qi, Zhengling, Lan, Tian
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.16060
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in LLM Reasoning
by: Li, Yu, et al.
Published: (2026)

InSPO: Unlocking Intrinsic Self-Reflection for LLM Preference Optimization
by: Li, Yu, et al.
Published: (2025)

When Right Meets Wrong: Bilateral Context Conditioning with Reward-Confidence Correction for GRPO
by: Li, Yu, et al.
Published: (2026)

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
by: Shi, Yaorui, et al.
Published: (2026)

Skill-R1: Agent Skill Evolution via Reinforcement Learning
by: Vishe, Yash, et al.
Published: (2026)

SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training
by: He, Zhongyu, et al.
Published: (2026)

ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models
by: Yin, Zhangyue, et al.
Published: (2025)

Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization
by: Li, Yu, et al.
Published: (2026)

Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning
by: Hao, Ce, et al.
Published: (2023)

Robust Offline Reinforcement learning with Heavy-Tailed Rewards
by: Zhu, Jin, et al.
Published: (2023)

Reinforcement Learning for Self-Improving Agent with Skill Library
by: Wang, Jiongxiao, et al.
Published: (2025)

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills
by: Xie, Yuquan, et al.
Published: (2025)

Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)

Generalizable Hierarchical Skill Learning via Object-Centric Representation
by: Zhao, Haibo, et al.
Published: (2025)

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning
by: Tian, Yongkai, et al.
Published: (2025)

SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents
by: Zhang, Ziao, et al.
Published: (2026)

SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents
by: Miao, Yongliang, et al.
Published: (2026)

Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning
by: Gundem, Korel, et al.
Published: (2025)

Operator-Guided Invariance Learning for Continuous Reinforcement Learning
by: Zhang, Zuyuan, et al.
Published: (2026)

SkillMaster: Toward Autonomous Skill Mastery in LLM Agents
by: Yang, Min, et al.
Published: (2026)

CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards
by: Tian, Wei, et al.
Published: (2026)

Autotelic Reinforcement Learning: Exploring Intrinsic Motivations for Skill Acquisition in Open-Ended Environments
by: Srivastava, Prakhar, et al.
Published: (2025)

$Agent^2$: An Agent-Generates-Agent Framework for Reinforcement Learning Automation
by: Wei, Yuan, et al.
Published: (2025)

Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand
by: Gundem, Korel, et al.
Published: (2025)

SkillOS: Learning Skill Curation for Self-Evolving Agents
by: Ouyang, Siru, et al.
Published: (2026)

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
by: Liu, Hongyi, et al.
Published: (2026)

Beyond Demand Estimation: Consumer Surplus Evaluation via Cumulative Propensity Weights
by: Bian, Zeyu, et al.
Published: (2026)

PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction
by: Yu, Simon, et al.
Published: (2025)

DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
by: Sharma, Shashank, et al.
Published: (2025)

PANDO: Efficient Multimodal AI Agents via Online Skill Distillation
by: Li, Yubo, et al.
Published: (2026)

MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis
by: Yu, Zixiong, et al.
Published: (2026)

Constrained Intrinsic Motivation for Reinforcement Learning
by: Zheng, Xiang, et al.
Published: (2024)

Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents
by: Zhen, Shuai, et al.
Published: (2026)

Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling
by: Zhang, Xianjie, et al.
Published: (2023)

Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
by: Wang, Haozhe, et al.
Published: (2025)

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
by: Yang, Yutao, et al.
Published: (2026)

Sample-Efficient Robot Skill Learning for Construction Tasks: Benchmarking Hierarchical Reinforcement Learning and Vision-Language-Action VLA Model
by: Hu, Zhaofeng, et al.
Published: (2025)

Skill Drift Is Contract Violation: Proactive Maintenance for LLM Agent Skill Libraries
by: Fan, Linfeng, et al.
Published: (2026)

RS-Claw: Progressive Active Tool Exploration via Hierarchical Skill Trees for Remote Sensing Agents
by: Liu, Liangtian, et al.
Published: (2026)

Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
by: Toquebiau, Maxime, et al.
Published: (2024)