Cover Image

Experiential Reflective Learning for Self-Improving LLM Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Allard, Marc-Antoine, Teinturier, Arnaud, Xing, Victor, Viaud, Gautier
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ExpeL: LLM Agents Are Experiential Learners
by: Zhao, Andrew, et al.
Published: (2023)

Experiential Reinforcement Learning
by: Shi, Taiwei, et al.
Published: (2026)

Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance
by: Grosnit, Antoine, et al.
Published: (2024)

Experiential Co-Learning of Software-Developing Agents
by: Qian, Chen, et al.
Published: (2023)

Light Alignment Improves LLM Safety via Model Self-Reflection with a Single Neuron
by: Shen, Sicheng, et al.
Published: (2026)

Self-Improving LLM Agents at Test-Time
by: Acikgoz, Emre Can, et al.
Published: (2025)

Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization
by: Bai, Fei, et al.
Published: (2026)

ASH: Agents that Self-Hone via Embodied Learning
by: Schneider, Benjamin, et al.
Published: (2026)

Self-Improving AI Agents through Self-Play
by: Chojecki, Przemyslaw
Published: (2025)

On The Statistical Limits of Self-Improving Agents
by: Wang, Charles L., et al.
Published: (2025)

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

Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance
by: He, Yufei, et al.
Published: (2025)

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

VideoAgent: Self-Improving Video Generation
by: Soni, Achint, et al.
Published: (2024)

MALT: Improving Reasoning with Multi-Agent LLM Training
by: Motwani, Sumeet Ramesh, et al.
Published: (2024)

Reinforce LLM Reasoning through Multi-Agent Reflection
by: Yuan, Yurun, et al.
Published: (2025)

Decocted Experience Improves Test-Time Inference in LLM Agents
by: Shen, Maohao, et al.
Published: (2026)

Continual Harness: Online Adaptation for Self-Improving Foundation Agents
by: Karten, Seth, et al.
Published: (2026)

R^3: Replay, Reflection, and Ranking Rewards for LLM Reinforcement Learning
by: Jiang, Zhizheng, et al.
Published: (2026)

APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents
by: Li, Yibo, et al.
Published: (2026)

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
by: Wang, Zihan, et al.
Published: (2025)

Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models
by: Bazaga, Adrián, et al.
Published: (2025)

Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
by: Wang, Kuang-Da, et al.
Published: (2024)

Reflective Policy Optimization
by: Gan, Yaozhong, et al.
Published: (2024)

TIDE: Temporal Incremental Draft Engine for Self-Improving LLM Inference
by: Park, Jiyoung, et al.
Published: (2026)

Martingale-Consistent Self-Supervised Learning
by: Gögl, Moritz, et al.
Published: (2026)

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
by: Li, Hanchen, et al.
Published: (2026)

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
by: Wang, Haozhe, et al.
Published: (2025)

Tree Search for LLM Agent Reinforcement Learning
by: Ji, Yuxiang, et al.
Published: (2025)

MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning
by: Chen, Jinhao, et al.
Published: (2025)

FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
by: Dai, Yucong, et al.
Published: (2025)

Self-Improved Learning for Scalable Neural Combinatorial Optimization
by: Luo, Fu, et al.
Published: (2024)

Reinforcement Learning for Long-Horizon Interactive LLM Agents
by: Chen, Kevin, et al.
Published: (2025)

Separable Pathways for Causal Reasoning: How Architectural Scaffolding Enables Hypothesis-Space Restructuring in LLM Agents
by: Alderete, John, et al.
Published: (2026)

EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
by: Liu, Jiaqi, et al.
Published: (2026)

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents
by: Wang, Haochen, et al.
Published: (2026)

Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems
by: Karnam, Meghana, et al.
Published: (2026)

Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails
by: Han, Siwei, et al.
Published: (2025)

Fed-SE: Federated Self-Evolution for Privacy-Constrained Multi-Environment LLM Agents
by: Chen, Xiang, et al.
Published: (2025)

LearnAlign: Data Selection for LLM Reinforcement Learning with Improved Gradient Alignment
by: Li, Shipeng, et al.
Published: (2025)