:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Romero, Marcos Lima, Suyama, Ricardo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Systems and Control
Online Access:	https://arxiv.org/abs/2506.04980
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
by: Naug, Avisek, et al.
Published: (2025)

Intent-Context Synergy Reinforcement Learning for Autonomous UAV Decision-Making in Air Combat
by: Fu, Jiahao, et al.
Published: (2026)

Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
by: Schenk, Christina, et al.
Published: (2024)

Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control
by: Schäfer, Georg, et al.
Published: (2025)

Domain Consistent Industrial Decarbonisation of Global Coal Power Plants
by: Ashraf, Waqar Muhammad, et al.
Published: (2025)

Primitive Agentic First-Order Optimization
by: Sala, R.
Published: (2024)

PyScrew: A Comprehensive Dataset Collection from Industrial Screw Driving Experiments
by: West, Nikolai, et al.
Published: (2025)

Towards Intrinsically Calibrated Uncertainty Quantification in Industrial Data-Driven Models via Diffusion Sampler
by: Ma, Yiran, et al.
Published: (2026)

Contingency Analysis of a Grid of Connected EVs for Primary Frequency Control of an Industrial Microgrid Using Efficient Control Scheme
by: Sabhahit, J. N., et al.
Published: (2024)

AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
by: Chen, Yuang, et al.
Published: (2025)

Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
by: Leeftink, David, et al.
Published: (2025)

Automated and Risk-Aware Engine Control Calibration Using Constrained Bayesian Optimization
by: Vlaswinkel, Maarten, et al.
Published: (2025)

A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems
by: Patel, Milin, et al.
Published: (2025)

Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning
by: Yang, Jingxuan, et al.
Published: (2024)

Hierarchical Testing with Rabbit Optimization for Industrial Cyber-Physical Systems
by: Hu, Jinwei, et al.
Published: (2025)

Hybrid Unsupervised Learning Strategy for Monitoring Industrial Batch Processes
by: Frey, Christian W.
Published: (2024)

ASTREA: Introducing Agentic Intelligence for Orbital Thermal Autonomy
by: Mousist, Alejandro D.
Published: (2025)

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation
by: Johri, Aniket, et al.
Published: (2025)

Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
by: Giral, Francisco, et al.
Published: (2024)

Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning
by: Yildirim, Suleyman, et al.
Published: (2020)

Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
by: Internò, Christian, et al.
Published: (2025)

Balancing Specialization and Centralization: A Multi-Agent Reinforcement Learning Benchmark for Sequential Industrial Control
by: Maus, Tom, et al.
Published: (2025)

Learning Contextual Runtime Monitors for Safe AI-Based Autonomy
by: Luque-Cerpa, Alejandro, et al.
Published: (2026)

Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production
by: Hake, Cornelius, et al.
Published: (2025)

Introducing AI-Driven IoT Energy Management Framework
by: Mruthyunjaya, Shivani, et al.
Published: (2025)

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
by: Zolman, Nicholas, et al.
Published: (2024)

CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System
by: Reverdi, Justin, et al.
Published: (2024)

Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies
by: Tong, Lang, et al.
Published: (2024)

A Trustworthy Industrial Fault Diagnosis Architecture Integrating Probabilistic Models and Large Language Models
by: wu, Yue
Published: (2025)

Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BO
by: Esfahani, Hossein Nejatbakhsh, et al.
Published: (2025)

Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study
by: Robb, David A., et al.
Published: (2024)

Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics
by: Betteti, Simone, et al.
Published: (2026)

AI-Driven Tactical Communications and Networking for Defense: A Survey and Emerging Trends
by: Baeza, Victor Monzon, et al.
Published: (2025)

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization
by: Li, Yuhang, et al.
Published: (2025)

Advanced AI Service Provisioning in O-RAN through LLM Engine Integration
by: Natanzi, Seyed Bagher Hashemi, et al.
Published: (2026)

CLAIRE: Compressed Latent Autoencoder for Industrial Representation and Evaluation -- A Deep Learning Framework for Smart Manufacturing
by: Ghahramani, Mohammadhossein, et al.
Published: (2026)

A Passivity-Based Method for Accelerated Convex Optimisation
by: Cho, Namhoon, et al.
Published: (2023)

Real-Time AI-Driven Milling Digital Twin Towards Extreme Low-Latency
by: Liu, Wenyi, et al.
Published: (2025)

Safe and Robust Domains of Attraction for Discrete-Time Systems: A Set-Based Characterization and Certifiable Neural Network Estimation
by: Serry, Mohamed, et al.
Published: (2026)

Provably-Stable Neural Network-Based Control of Nonlinear Systems
by: Li, Anran, et al.
Published: (2025)