EvoMAS: Learning Execution-Time Workflows for Multi-Agent Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Chengdong, Ke, Kaiqiang, Liu, Ziheng, Wei, Jiaqi, Shao, Zibo, Guo, Weile, Yu, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
EvoMAS: Evolutionary Generation of Multi-Agent Systems
by: Hu, Yuntong, et al.
Published: (2026)
by: Hu, Yuntong, et al.
Published: (2026)
H$^2$R: Hierarchical Hindsight Reflection for Multi-Task LLM Agents
by: Ye, Shicheng, et al.
Published: (2025)
by: Ye, Shicheng, et al.
Published: (2025)
Context-Picker: Dynamic context selection using multi-stage reinforcement learning
by: Zhu, Siyuan, et al.
Published: (2025)
by: Zhu, Siyuan, et al.
Published: (2025)
MAS-Algorithm: A Workflow for Solving Algorithmic Programming Problems with a Multi-Agent System
by: Xu, Yuliang, et al.
Published: (2026)
by: Xu, Yuliang, et al.
Published: (2026)
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
by: Wang, Yingxu, et al.
Published: (2025)
by: Wang, Yingxu, et al.
Published: (2025)
EvoAgent: An Evolvable Agent Framework with Skill Learning and Multi-Agent Delegation
by: Zhang, Aimin, et al.
Published: (2026)
by: Zhang, Aimin, et al.
Published: (2026)
Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety
by: Pan, Zhenyu, et al.
Published: (2025)
by: Pan, Zhenyu, et al.
Published: (2025)
MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision
by: Ke, Zixuan, et al.
Published: (2025)
by: Ke, Zixuan, et al.
Published: (2025)
EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning
by: He, Yufei, et al.
Published: (2026)
by: He, Yufei, et al.
Published: (2026)
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
by: Zhou, Zhilun, et al.
Published: (2026)
by: Zhou, Zhilun, et al.
Published: (2026)
EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems
by: He, Yufei, et al.
Published: (2025)
by: He, Yufei, et al.
Published: (2025)
EvoSkill: Automated Skill Discovery for Multi-Agent Systems
by: Alzubi, Salaheddin, et al.
Published: (2026)
by: Alzubi, Salaheddin, et al.
Published: (2026)
HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning
by: Xu, Beibei, et al.
Published: (2026)
by: Xu, Beibei, et al.
Published: (2026)
FlowAgent: Achieving Compliance and Flexibility for Workflow Agents
by: Shi, Yuchen, et al.
Published: (2025)
by: Shi, Yuchen, et al.
Published: (2025)
MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
by: Venkataramani, Vishal, et al.
Published: (2026)
by: Venkataramani, Vishal, et al.
Published: (2026)
Adaptive Coarse-to-Fine Subgoal Refinement for Long-Horizon Offline Goal-Conditioned Reinforcement Learning
by: Ke, Kaiqiang, et al.
Published: (2026)
by: Ke, Kaiqiang, et al.
Published: (2026)
LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning
by: Chen, Xudong, et al.
Published: (2026)
by: Chen, Xudong, et al.
Published: (2026)
EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
by: Yuan, Siyu, et al.
Published: (2024)
by: Yuan, Siyu, et al.
Published: (2024)
AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning
by: Pan, Zhenyu, et al.
Published: (2025)
by: Pan, Zhenyu, et al.
Published: (2025)
MAS-on-the-Fly: Dynamic Adaptation of LLM-based Multi-Agent Systems at Test Time
by: Liu, Guangyi, et al.
Published: (2026)
by: Liu, Guangyi, et al.
Published: (2026)
From Intent to Execution: Composing Agentic Workflows with Agent Recommendation
by: Athrey, Kishan, et al.
Published: (2026)
by: Athrey, Kishan, et al.
Published: (2026)
EvoConfig: Self-Evolving Multi-Agent Systems for Efficient Autonomous Environment Configuration
by: Guo, Xinshuai, et al.
Published: (2026)
by: Guo, Xinshuai, et al.
Published: (2026)
Adaptive Multimodal Agents-Based Framework for Automatic Workflow Execution
by: Cifani, Susanna, et al.
Published: (2026)
by: Cifani, Susanna, et al.
Published: (2026)
CogEvo-Edu: Cognitive Evolution Educational Multi-Agent Collaborative System
by: Wu, Yefeng, et al.
Published: (2025)
by: Wu, Yefeng, et al.
Published: (2025)
Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems
by: Feng, Lang, et al.
Published: (2026)
by: Feng, Lang, et al.
Published: (2026)
Benchmarking Real-Time Question Answering via Executable Code Workflows
by: Zhou, Wenjie, et al.
Published: (2026)
by: Zhou, Wenjie, et al.
Published: (2026)
EmoMAS: Emotion-Aware Multi-Agent System for High-Stakes Edge-Deployable Negotiation with Bayesian Orchestration
by: Long, Yunbo, et al.
Published: (2026)
by: Long, Yunbo, et al.
Published: (2026)
EvoEmo: Towards Evolved Emotional Policies for Adversarial LLM Agents in Multi-Turn Price Negotiation
by: Long, Yunbo, et al.
Published: (2025)
by: Long, Yunbo, et al.
Published: (2025)
HAWK: A Hierarchical Workflow Framework for Multi-Agent Collaboration
by: Cheng, Yuyang, et al.
Published: (2025)
by: Cheng, Yuyang, et al.
Published: (2025)
TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning
by: Liu, Hangchen, et al.
Published: (2026)
by: Liu, Hangchen, et al.
Published: (2026)
Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems
by: Lin, Hehai, et al.
Published: (2026)
by: Lin, Hehai, et al.
Published: (2026)
Agentic Lybic: Multi-Agent Execution System with Tiered Reasoning and Orchestration
by: Guo, Liangxuan, et al.
Published: (2025)
by: Guo, Liangxuan, et al.
Published: (2025)
Arbitrary-Order Distributed Finite-Time Differentiator for Multi-Agent Systems
by: Chen, Weile, et al.
Published: (2024)
by: Chen, Weile, et al.
Published: (2024)
EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent
by: Wang, Suyuan, et al.
Published: (2024)
by: Wang, Suyuan, et al.
Published: (2024)
Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting
by: Liu, Zibo, et al.
Published: (2024)
by: Liu, Zibo, et al.
Published: (2024)
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)
by: Li, Simin, et al.
Published: (2025)
Efficient Orchestrated AI Workflows Execution on Scale-out Spatial Architecture
by: Deng, Jinyi, et al.
Published: (2024)
by: Deng, Jinyi, et al.
Published: (2024)
NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning
by: Lu, Haoran, et al.
Published: (2026)
by: Lu, Haoran, et al.
Published: (2026)
ProMAS: Proactive Error Forecasting for Multi-Agent Systems Using Markov Transition Dynamics
by: Zhao, Xinkui, et al.
Published: (2026)
by: Zhao, Xinkui, et al.
Published: (2026)
X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs
by: Ye, Rui, et al.
Published: (2025)
by: Ye, Rui, et al.
Published: (2025)
Similar Items
-
EvoMAS: Evolutionary Generation of Multi-Agent Systems
by: Hu, Yuntong, et al.
Published: (2026) -
H$^2$R: Hierarchical Hindsight Reflection for Multi-Task LLM Agents
by: Ye, Shicheng, et al.
Published: (2025) -
Context-Picker: Dynamic context selection using multi-stage reinforcement learning
by: Zhu, Siyuan, et al.
Published: (2025) -
MAS-Algorithm: A Workflow for Solving Algorithmic Programming Problems with a Multi-Agent System
by: Xu, Yuliang, et al.
Published: (2026) -
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
by: Wang, Yingxu, et al.
Published: (2025)