Cover Image

LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Naug, Avisek, Guillen, Antonio, Kumar, Vineet, Greenwood, Scott, Brewer, Wesley, Ghorbanpour, Sahand, Babu, Ashwin Ramesh, Gundecha, Vineet, Gutierrez, Ricardo Luna, Sarkar, Soumyendu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Multiagent Systems Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
by: Sarkar, Soumyendu, et al.
Published: (2024)

Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
by: Sarkar, Soumyendu, et al.
Published: (2024)

Sustainability of Data Center Digital Twins with Reinforcement Learning
by: Sarkar, Soumyendu, et al.
Published: (2024)

DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
by: Guillen-Perez, Antonio, et al.
Published: (2025)

A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration
by: Naug, Avisek, et al.
Published: (2024)

Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
by: Sarkar, Soumyendu, et al.
Published: (2025)

Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
by: Sarkar, Soumyendu, et al.
Published: (2024)

SustainDC: Benchmarking for Sustainable Data Center Control
by: Naug, Avisek, et al.
Published: (2024)

Fast 3D Surrogate Modeling for Data Center Thermal Management
by: Sarkar, Soumyendu, et al.
Published: (2025)

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
by: Sarkar, Soumyendu, et al.
Published: (2025)

Robustness Evaluation for Video Models with Reinforcement Learning
by: Babu, Ashwin Ramesh, et al.
Published: (2025)

Coordinated Robustness Evaluation Framework for Vision-Language Models
by: Babu, Ashwin Ramesh, et al.
Published: (2025)

PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability
by: Naug, Avisek, et al.
Published: (2023)

Agile Flight Emerges from Multi-Agent Competitive Racing
by: Pasumarti, Vineet, et al.
Published: (2025)

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
by: Parada, Leandro, et al.
Published: (2024)

StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
by: Li, Shiyang, et al.
Published: (2026)

What if Pinocchio Were a Reinforcement Learning Agent: A Normative End-to-End Pipeline
by: Alcaraz, Benoît
Published: (2026)

Dialogue Diplomats: An End-to-End Multi-Agent Reinforcement Learning System for Automated Conflict Resolution and Consensus Building
by: Bolleddu, Deepak
Published: (2025)

LEARN: Learning End-to-End Aerial Resource-Constrained Multi-Robot Navigation
by: Chiu, Darren, et al.
Published: (2025)

SAGE: Scalable Agentic Grounded Evaluation for Crop Disease Diagnosis
by: Arshad, Muhammad Arbab, et al.
Published: (2026)

Unified End-to-End V2X Cooperative Autonomous Driving
by: Li, Zhiwei, et al.
Published: (2024)

FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces
by: Xu, Zhenran, et al.
Published: (2025)

Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems
by: Yu, Ye, et al.
Published: (2026)

Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System
by: Xu, Wanghan, et al.
Published: (2025)

City-LEO: Toward Transparent City Management Using LLM with End-to-End Optimization
by: Jiao, Zihao, et al.
Published: (2024)

End-to-End Autonomous Driving through V2X Cooperation
by: Yu, Haibao, et al.
Published: (2024)

Autonomous Industrial Control using an Agentic Framework with Large Language Models
by: Vyas, Javal, et al.
Published: (2024)

Multi-Agentic Approach for History Matching of Oil Reservoirs
by: Samigullin, Linar, et al.
Published: (2026)

RobustFlow: Towards Robust Agentic Workflow Generation
by: Xu, Shengxiang, et al.
Published: (2025)

CARES: Collaborative Agentic Reasoning for Error Detection in Surgery
by: Low, Chang Han, et al.
Published: (2025)

ClawMobile: Rethinking Smartphone-Native Agentic Systems
by: Du, Hongchao, et al.
Published: (2026)

ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System
by: Kang, Hao, et al.
Published: (2026)

Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control
by: Liu, Zhenyu, et al.
Published: (2026)

Supporting Dynamic Agentic Workloads: How Data and Agents Interact
by: Giurgiu, Ioana, et al.
Published: (2025)

Agentic LLM Workflows for Generating Patient-Friendly Medical Reports
by: Sudarshan, Malavikha, et al.
Published: (2024)

UCAgent: An End-to-End Agent for Block-Level Functional Verification
by: Wang, Junyue, et al.
Published: (2026)

A behavior driven approach for sampling rare event situations for autonomous vehicles
by: Sarkar, Atrisha, et al.
Published: (2019)

AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Web
by: Zhong, Shanshan, et al.
Published: (2026)

AgenticPrecoding: LLM-Empowered Multi-Agent System for Precoding Optimization
by: Yang, Zijiu, et al.
Published: (2026)

Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents
by: Bousetouane, Fouad
Published: (2025)