AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Jiale, Wang, Nanzhe |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
por: Trirat, Patara, et al.
Publicado: (2024)
por: Trirat, Patara, et al.
Publicado: (2024)
EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design
por: Molinari, Gioele, et al.
Publicado: (2026)
por: Molinari, Gioele, et al.
Publicado: (2026)
Language-Driven Coordination and Learning in Multi-Agent Simulation Environments
por: Li, Zhengyang, et al.
Publicado: (2025)
por: Li, Zhengyang, et al.
Publicado: (2025)
Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense
por: Mukherjee, Sayak, et al.
Publicado: (2025)
por: Mukherjee, Sayak, et al.
Publicado: (2025)
Learning Progress Driven Multi-Agent Curriculum
por: Zhao, Wenshuai, et al.
Publicado: (2022)
por: Zhao, Wenshuai, et al.
Publicado: (2022)
Toward Autonomous Engineering Design: A Knowledge-Guided Multi-Agent Framework
por: Kumar, Varun, et al.
Publicado: (2025)
por: Kumar, Varun, et al.
Publicado: (2025)
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
por: Yang, Kuo, et al.
Publicado: (2025)
por: Yang, Kuo, et al.
Publicado: (2025)
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
por: Wang, Zhao, et al.
Publicado: (2025)
por: Wang, Zhao, et al.
Publicado: (2025)
Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
por: Huh, Dom, et al.
Publicado: (2024)
por: Huh, Dom, et al.
Publicado: (2024)
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
por: Yin, Qiyue, et al.
Publicado: (2022)
por: Yin, Qiyue, et al.
Publicado: (2022)
VDFD: Multi-Agent Value Decomposition Framework with Disentangled World Model
por: Wang, Zhizun, et al.
Publicado: (2023)
por: Wang, Zhizun, et al.
Publicado: (2023)
OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
por: Li, Shijun, et al.
Publicado: (2025)
por: Li, Shijun, et al.
Publicado: (2025)
LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
por: Bae, Sangjun, et al.
Publicado: (2026)
por: Bae, Sangjun, et al.
Publicado: (2026)
GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
por: Chen, Hongjiang, et al.
Publicado: (2026)
por: Chen, Hongjiang, et al.
Publicado: (2026)
Verifiability-First Agents: Provable Observability and Lightweight Audit Agents for Controlling Autonomous LLM Systems
por: Gupta, Abhivansh
Publicado: (2025)
por: Gupta, Abhivansh
Publicado: (2025)
GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis
por: Liu, Haoyang, et al.
Publicado: (2025)
por: Liu, Haoyang, et al.
Publicado: (2025)
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
por: Lee, Sunwoo, et al.
Publicado: (2026)
por: Lee, Sunwoo, et al.
Publicado: (2026)
Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
por: Liu, Lunjun, et al.
Publicado: (2024)
por: Liu, Lunjun, et al.
Publicado: (2024)
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
por: Hu, Tianmeng, et al.
Publicado: (2026)
por: Hu, Tianmeng, et al.
Publicado: (2026)
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
por: Yang, Huchen, et al.
Publicado: (2026)
por: Yang, Huchen, et al.
Publicado: (2026)
Multi-agent Auto-Bidding with Latent Graph Diffusion Models
por: Huh, Dom, et al.
Publicado: (2025)
por: Huh, Dom, et al.
Publicado: (2025)
Adaptability in Multi-Agent Reinforcement Learning: A Framework and Unified Review
por: Hu, Siyi, et al.
Publicado: (2025)
por: Hu, Siyi, et al.
Publicado: (2025)
MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments
por: Sawaika, Abhishek, et al.
Publicado: (2026)
por: Sawaika, Abhishek, et al.
Publicado: (2026)
Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems
por: Yang, Jiaxi, et al.
Publicado: (2025)
por: Yang, Jiaxi, et al.
Publicado: (2025)
Deep Reinforcement Learning for Multi-Agent Coordination
por: Aina, Kehinde O., et al.
Publicado: (2025)
por: Aina, Kehinde O., et al.
Publicado: (2025)
Attention-Driven Multi-Agent Reinforcement Learning: Enhancing Decisions with Expertise-Informed Tasks
por: Kuroswiski, Andre R, et al.
Publicado: (2024)
por: Kuroswiski, Andre R, et al.
Publicado: (2024)
A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
por: Wang, Taiyi, et al.
Publicado: (2026)
por: Wang, Taiyi, et al.
Publicado: (2026)
KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization
por: Sun, Qitong, et al.
Publicado: (2026)
por: Sun, Qitong, et al.
Publicado: (2026)
A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis
por: Sharma, Dinesh, et al.
Publicado: (2023)
por: Sharma, Dinesh, et al.
Publicado: (2023)
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
por: Light, Jonathan, et al.
Publicado: (2024)
por: Light, Jonathan, et al.
Publicado: (2024)
A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication
por: Cuzin-Rambaud, Valentin, et al.
Publicado: (2026)
por: Cuzin-Rambaud, Valentin, et al.
Publicado: (2026)
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
por: Bokade, Rohit, et al.
Publicado: (2024)
por: Bokade, Rohit, et al.
Publicado: (2024)
Turn-based Multi-Agent Reinforcement Learning Model Checking
por: Gross, Dennis
Publicado: (2025)
por: Gross, Dennis
Publicado: (2025)
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
por: Shen, Siqi, et al.
Publicado: (2023)
por: Shen, Siqi, et al.
Publicado: (2023)
LERO: LLM-driven Evolutionary framework with Hybrid Rewards and Enhanced Observation for Multi-Agent Reinforcement Learning
por: Wei, Yuan, et al.
Publicado: (2025)
por: Wei, Yuan, et al.
Publicado: (2025)
Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning
por: Yang, Shan, et al.
Publicado: (2026)
por: Yang, Shan, et al.
Publicado: (2026)
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
por: Liu, Shunyu, et al.
Publicado: (2022)
por: Liu, Shunyu, et al.
Publicado: (2022)
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
por: Liu, Sicong, et al.
Publicado: (2025)
por: Liu, Sicong, et al.
Publicado: (2025)
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
por: Tang, Shuo, et al.
Publicado: (2024)
por: Tang, Shuo, et al.
Publicado: (2024)
CleanAgent: Automating Data Standardization with LLM-based Agents
por: Qi, Danrui, et al.
Publicado: (2024)
por: Qi, Danrui, et al.
Publicado: (2024)
Ejemplares similares
-
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
por: Trirat, Patara, et al.
Publicado: (2024) -
EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design
por: Molinari, Gioele, et al.
Publicado: (2026) -
Language-Driven Coordination and Learning in Multi-Agent Simulation Environments
por: Li, Zhengyang, et al.
Publicado: (2025) -
Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense
por: Mukherjee, Sayak, et al.
Publicado: (2025) -
Learning Progress Driven Multi-Agent Curriculum
por: Zhao, Wenshuai, et al.
Publicado: (2022)