Image de couverture de livre

ARISE: Agent Reasoning with Intrinsic Skill Evolution in Hierarchical Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Yu, Miao, Rui, Qi, Zhengling, Lan, Tian
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in LLM Reasoning
par: Li, Yu, et autres
Publié: (2026)

InSPO: Unlocking Intrinsic Self-Reflection for LLM Preference Optimization
par: Li, Yu, et autres
Publié: (2025)

When Right Meets Wrong: Bilateral Context Conditioning with Reward-Confidence Correction for GRPO
par: Li, Yu, et autres
Publié: (2026)

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
par: Shi, Yaorui, et autres
Publié: (2026)

Skill-R1: Agent Skill Evolution via Reinforcement Learning
par: Vishe, Yash, et autres
Publié: (2026)

SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training
par: He, Zhongyu, et autres
Publié: (2026)

ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models
par: Yin, Zhangyue, et autres
Publié: (2025)

Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization
par: Li, Yu, et autres
Publié: (2026)

Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning
par: Hao, Ce, et autres
Publié: (2023)

Reinforcement Learning for Self-Improving Agent with Skill Library
par: Wang, Jiongxiao, et autres
Publié: (2025)

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills
par: Xie, Yuquan, et autres
Publié: (2025)

Robust Offline Reinforcement learning with Heavy-Tailed Rewards
par: Zhu, Jin, et autres
Publié: (2023)

Offline Reinforcement Learning with Discrete Diffusion Skills
par: Qiao, RuiXi, et autres
Publié: (2025)

Symmetry-Guided Multi-Agent Inverse Reinforcement Learning
par: Tian, Yongkai, et autres
Publié: (2025)

Generalizable Hierarchical Skill Learning via Object-Centric Representation
par: Zhao, Haibo, et autres
Publié: (2025)

SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents
par: Zhang, Ziao, et autres
Publié: (2026)

SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents
par: Miao, Yongliang, et autres
Publié: (2026)

Autotelic Reinforcement Learning: Exploring Intrinsic Motivations for Skill Acquisition in Open-Ended Environments
par: Srivastava, Prakhar, et autres
Publié: (2025)

SkillMaster: Toward Autonomous Skill Mastery in LLM Agents
par: Yang, Min, et autres
Publié: (2026)

Operator-Guided Invariance Learning for Continuous Reinforcement Learning
par: Zhang, Zuyuan, et autres
Publié: (2026)

CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards
par: Tian, Wei, et autres
Publié: (2026)

$Agent^2$: An Agent-Generates-Agent Framework for Reinforcement Learning Automation
par: Wei, Yuan, et autres
Publié: (2025)

Constrained Intrinsic Motivation for Reinforcement Learning
par: Zheng, Xiang, et autres
Publié: (2024)

SkillOS: Learning Skill Curation for Self-Evolving Agents
par: Ouyang, Siru, et autres
Publié: (2026)

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
par: Liu, Hongyi, et autres
Publié: (2026)

DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
par: Sharma, Shashank, et autres
Publié: (2025)

Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents
par: Zhen, Shuai, et autres
Publié: (2026)

Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
par: Wang, Haozhe, et autres
Publié: (2025)

Sample-Efficient Robot Skill Learning for Construction Tasks: Benchmarking Hierarchical Reinforcement Learning and Vision-Language-Action VLA Model
par: Hu, Zhaofeng, et autres
Publié: (2025)

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
par: Yang, Yutao, et autres
Publié: (2026)

PANDO: Efficient Multimodal AI Agents via Online Skill Distillation
par: Li, Yubo, et autres
Publié: (2026)

Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning
par: Gundem, Korel, et autres
Publié: (2025)

PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction
par: Yu, Simon, et autres
Publié: (2025)

MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis
par: Yu, Zixiong, et autres
Publié: (2026)

Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling
par: Zhang, Xianjie, et autres
Publié: (2023)

RS-Claw: Progressive Active Tool Exploration via Hierarchical Skill Trees for Remote Sensing Agents
par: Liu, Liangtian, et autres
Publié: (2026)

Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
par: Toquebiau, Maxime, et autres
Publié: (2024)

Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
par: Sun, Zexu, et autres
Publié: (2025)

Skill Drift Is Contract Violation: Proactive Maintenance for LLM Agent Skill Libraries
par: Fan, Linfeng, et autres
Publié: (2026)

Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning
par: Rui, Shaohao, et autres
Publié: (2025)