Cover Image

SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ge, Yubin, Romeo, Salvatore, Cai, Jason, Sunkara, Monica, Zhang, Yi
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues
by: Ge, Yubin, et al.
Published: (2025)

Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development
by: Shen, Ming, et al.
Published: (2025)

Supplement Generation Training for Enhancing Agentic Task Performance
by: Cho, Young Min, et al.
Published: (2026)

RoundTable: Investigating Group Decision-Making Mechanism in Multi-Agent Collaboration
by: Cho, Young-Min, et al.
Published: (2024)

Towards Effective GenAI Multi-Agent Collaboration: Design and Evaluation for Enterprise Applications
by: Shu, Raphael, et al.
Published: (2024)

Explicit Trait Inference for Multi-Agent Coordination
by: Abdurahman, Suhaib, et al.
Published: (2026)

A Study on Leveraging Search and Self-Feedback for Agent Reasoning
by: K, Karthikeyan, et al.
Published: (2025)

CERET: Cost-Effective Extrinsic Refinement for Text Generation
by: Cai, Jason, et al.
Published: (2024)

Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
by: Alqahtani, Sawsan, et al.
Published: (2021)

Experiential Reflective Learning for Self-Improving LLM Agents
by: Allard, Marc-Antoine, et al.
Published: (2026)

Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
by: Yuan, Michelle, et al.
Published: (2025)

LLM-Enhanced Rapid-Reflex Async-Reflect Embodied Agent for Real-Time Decision-Making in Dynamically Changing Environments
by: Zheng, Yangqing, et al.
Published: (2025)

Concept Learning for Cooperative Multi-Agent Reinforcement Learning
by: Ge, Zhonghan, et al.
Published: (2025)

TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
by: Tian, Feng, et al.
Published: (2025)

Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning
by: Yuan, Xinbin, et al.
Published: (2025)

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph
by: Fu, Qingxu, et al.
Published: (2024)

OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent
by: Chen, Bowen, et al.
Published: (2025)

Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments
by: Chen, Yuxin, et al.
Published: (2026)

Enhancing Financial Question Answering with a Multi-Agent Reflection Framework
by: Fatemi, Sorouralsadat, et al.
Published: (2024)

Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction
by: Haji, Fatemeh, et al.
Published: (2025)

AI Enhanced Ontology Driven NLP for Intelligent Cloud Resource Query Processing Using Knowledge Graphs
by: Sunkara, Krishna Chaitanya, et al.
Published: (2025)

EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents
by: Ju, Ruofei, et al.
Published: (2026)

LiteGUI: Distilling Compact GUI Agents with Reinforcement Learning
by: Wu, Yubin, et al.
Published: (2026)

Real-Time Procedural Learning From Experience for AI Agents
by: Bi, Dasheng, et al.
Published: (2025)

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
by: Yuan, Siyu, et al.
Published: (2025)

MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
by: Li, Wenliang, et al.
Published: (2025)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)

Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
by: Zhou, Yuxuan, et al.
Published: (2025)

CollabEval: Enhancing LLM-as-a-Judge via Multi-Agent Collaboration
by: Qian, Yiyue, et al.
Published: (2026)

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback
by: Yun, Taewon, et al.
Published: (2025)

Robotouille: An Asynchronous Planning Benchmark for LLM Agents
by: Gonzalez-Pumariega, Gonzalo, et al.
Published: (2025)

ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection
by: Li, Jiaqi, et al.
Published: (2025)

AutoEval: A Practical Framework for Autonomous Evaluation of Mobile Agents
by: Sun, Jiahui, et al.
Published: (2025)

Efficient Training in Multi-Agent Reinforcement Learning: A Communication-Free Framework for the Box-Pushing Problem
by: Ge, David, et al.
Published: (2024)

Beyond Training: Enabling Self-Evolution of Agents with MOBIMEM
by: Liu, Zibin, et al.
Published: (2025)

Reflect-Guard: Enhancing LLM Safeguards against Adversarial Prompts via Logical Self-Reflection
by: Lin, Lixing, et al.
Published: (2026)

Multi-Agent Collaborative Reward Design for Enhancing Reasoning in Reinforcement Learning
by: Yang, Pei, et al.
Published: (2025)

Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2026)

GUI-Shift: Enhancing VLM-Based GUI Agents through Self-supervised Reinforcement Learning
by: Gao, Longxi, et al.
Published: (2025)

Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate System
by: Wang, Haotian, et al.
Published: (2023)