Imagen de Portada

Learning Virtual Machine Scheduling in Cloud Computing through Language Agents

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, JieHao, Wang, Ziwei, Sheng, Junjie, Li, Wenhao, Wang, Xiangfeng, Luo, Jun
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Scalable Reinforcement Learning for Virtual Machine Scheduling
por: Sheng, Junjie, et al.
Publicado: (2025)

TextAtari: 100K Frames Game Playing with Language Agents
por: Li, Wenhao, et al.
Publicado: (2025)

AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization
por: Wu, Jiehao, et al.
Publicado: (2026)

Mean-Field Diffuser: Scaling Offline MARL to Thousands of Agents
por: Li, Wenhao, et al.
Publicado: (2026)

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment
por: Shi, Yucheng, et al.
Publicado: (2025)

MiniDisc: Minimal Distillation Schedule for Language Model Compression
por: Zhang, Chen, et al.
Publicado: (2022)

Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs
por: Qin, Yijian, et al.
Publicado: (2023)

DVM: A Bytecode Virtual Machine Approach for Dynamic Tensor Computation
por: Fang, Jingzhi, et al.
Publicado: (2026)

MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
por: Li, Ruochen, et al.
Publicado: (2024)

Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning
por: Yang, Xuewei, et al.
Publicado: (2026)

AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation
por: Chakrabarty, Tuhin, et al.
Publicado: (2025)

Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
por: Xiong, Weimin, et al.
Publicado: (2024)

Synthetic Sandbox for Training Machine Learning Engineering Agents
por: Zhou, Yuhang, et al.
Publicado: (2026)

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
por: Zhu, JianHao, et al.
Publicado: (2024)

Mental Modeling of Reinforcement Learning Agents by Language Models
por: Lu, Wenhao, et al.
Publicado: (2024)

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
por: Wang, Fali, et al.
Publicado: (2025)

Adaptive Social Learning via Mode Policy Optimization for Language Agents
por: Wang, Minzheng, et al.
Publicado: (2025)

T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
por: Hou, Zhenyu, et al.
Publicado: (2025)

A light-weight and efficient punctuation and word casing prediction model for on-device streaming ASR
por: You, Jian, et al.
Publicado: (2024)

Direct Multi-Turn Preference Optimization for Language Agents
por: Shi, Wentao, et al.
Publicado: (2024)

Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models
por: Zhou, Yuqing, et al.
Publicado: (2024)

Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning
por: Li, Hanzhe, et al.
Publicado: (2024)

CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
por: Lv, Weijie, et al.
Publicado: (2024)

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
por: Yan, Jun, et al.
Publicado: (2023)

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
por: Wu, Di, et al.
Publicado: (2025)

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents
por: Li, Zelong, et al.
Publicado: (2024)

Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective
por: Zhou, Yuqing, et al.
Publicado: (2024)

Structured Agent Distillation for Large Language Model
por: Liu, Jun, et al.
Publicado: (2025)

Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models
por: Yu, Chuanyue, et al.
Publicado: (2026)

Fine-Tuning is Subgraph Search: A New Lens on Learning Dynamics
por: Li, Yueyan, et al.
Publicado: (2025)

Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
por: Luo, Jun, et al.
Publicado: (2024)

Fine-tuning Large Language Models for Domain-specific Machine Translation
por: Zheng, Jiawei, et al.
Publicado: (2024)

Continual Learning for Large Language Models: A Survey
por: Wu, Tongtong, et al.
Publicado: (2024)

Adversarial Reinforcement Learning for Large Language Model Agent Safety
por: Wang, Zizhao, et al.
Publicado: (2025)

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
por: Xi, Zhiheng, et al.
Publicado: (2025)

Verifying Computational Graphs in Production-Grade Distributed Machine Learning Frameworks
por: Zulkifli, Kahfi S., et al.
Publicado: (2025)

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
por: Zhang, Zhicheng, et al.
Publicado: (2025)

VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
por: Jiang, Guochao, et al.
Publicado: (2025)

Co-Evolution of Policy and Internal Reward for Language Agents
por: Wang, Xinyu, et al.
Publicado: (2026)

A Survey of Automatic Prompt Engineering: An Optimization Perspective
por: Li, Wenwu, et al.
Publicado: (2025)