Image de couverture de livre

SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	He, Zhongyu, Li, Yuanfan, Huang, Fei, Chen, Tianyu, Chen, Siyuan, Li, Xingyang, Yu, Meng Hsuan, Liu, Xiangrong, Wei, Leyi, Pan, Lu, Zeng, Ke, Cai, Xunliang
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning
par: Zhu, Jiapeng, et autres
Publié: (2026)

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

SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
par: Lu, Zhengxi, et autres
Publié: (2026)

ARISE: Agent Reasoning with Intrinsic Skill Evolution in Hierarchical Reinforcement Learning
par: Li, Yu, et autres
Publié: (2026)

Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
par: Yang, Xin, et autres
Publié: (2026)

A Survey on LLM Mid-Training
par: Tu, Chengying, et autres
Publié: (2025)

Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy
par: Zhang, Xiaoyun, et autres
Publié: (2025)

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences?
par: Ouyang, Leyi
Publié: (2025)

Generalized Symmetries in 2D from String Theory: SymTFTs, Intrinsic Relativeness, and Anomalies of Non-invertible Symmetries
par: Franco, Sebastian, et autres
Publié: (2024)

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
par: Wang, Hao, et autres
Publié: (2026)

AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs
par: Ding, Xuanwen, et autres
Publié: (2025)

Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
par: Wang, Siyuan, et autres
Publié: (2024)

GUI-CIDER: Mid-training GUI Agents via Causal Internalization and Density-aware Exemplar Reselection
par: Wu, Zheng, et autres
Publié: (2026)

RouteGuard: Internal-Signal Detection of Skill Poisoning in LLM Agents
par: Xiao, Wenjie, et autres
Publié: (2026)

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

Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training
par: Duan, Wenjing, et autres
Publié: (2026)

TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training
par: Yang, Jinluan, et autres
Publié: (2026)

Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks
par: Yue, Shengbin, et autres
Publié: (2024)

KETA: Kinematic-Phrases-Enhanced Text-to-Motion Generation via Fine-grained Alignment
par: Jiang, Yu, et autres
Publié: (2025)

SIRI: Scaling Iterative Reinforcement Learning with Interleaved Compression
par: Wen, Haoming, et autres
Publié: (2025)

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
par: Xia, Peng, et autres
Publié: (2026)

SkillCraft: Can LLM Agents Learn to Use Tools Skillfully?
par: Chen, Shiqi, et autres
Publié: (2026)

Terminal-World: Scaling Terminal-Agent Environments via Agent Skills
par: Cheng, Zihao, et autres
Publié: (2026)

The Scaling Laws of Skills in LLM Agent Systems
par: Chen, Charles, et autres
Publié: (2026)

HyLaT: Efficient Multi-Agent Communication via Hybrid Latent-Text Protocol
par: Mou, Xinyi, et autres
Publié: (2026)

Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning
par: Ren, Tianyu, et autres
Publié: (2025)

Identity-Driven Hierarchical Role-Playing Agents
par: Sun, Libo, et autres
Publié: (2024)

HeavySkill: Heavy Thinking as the Inner Skill in Agentic Harness
par: Wang, Jianing, et autres
Publié: (2026)

Harnessing LLM Agents with Skill Programs
par: Liu, Hongjun, et autres
Publié: (2026)

Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety
par: Pan, Zhenyu, et autres
Publié: (2025)

Stepwise Informativeness Search for Efficient and Effective LLM Reasoning
par: Wang, Siyuan, et autres
Publié: (2025)

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
par: Li, Xiaoyuan, et autres
Publié: (2026)

AgentEscapeBench: Evaluating Out-of-Domain Tool-Grounded Reasoning in LLM Agents
par: Guo, Zhengkang, et autres
Publié: (2026)

SkillsInjector: Dynamic Skill Context Construction for LLM Agents
par: Li, Yanchao, et autres
Publié: (2026)

SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment
par: Lin, Hongxiang, et autres
Publié: (2026)

Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
par: Wu, Lisheng, et autres
Publié: (2024)

Skill-as-Pseudocode: Refactoring Skill Libraries to Pseudocode for LLM Agents
par: Li, Xinze, et autres
Publié: (2026)

Tracing the roots of chinese characters : 500 cases / Li Leyi zhu
par: Li, Leyi
Publié: (1994)

MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge Evolution
par: Sun, Libo, et autres
Publié: (2026)

Rollout-Training Co-Design for Efficient LLM-Based Multi-Agent Reinforcement Learning
par: Jiang, Zhida, et autres
Publié: (2026)