Cover Image

Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nasir, Ali, Mekid, Samir, Sawlan, Zaid, Alsawafy, Omar
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Intermittently Observable Markov Decision Processes
by: Chen, Gongpu, et al.
Published: (2023)

Causal Temporal Reasoning for Markov Decision Processes
by: Kazemi, Milad, et al.
Published: (2022)

Interval Markov Decision Processes with Continuous Action-Spaces
by: Delimpaltadakis, Giannis, et al.
Published: (2022)

OCMDP: Observation-Constrained Markov Decision Process
by: Wang, Taiyi, et al.
Published: (2024)

Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes
by: Lee, Donghwan, et al.
Published: (2023)

Conformal Off-Policy Evaluation in Markov Decision Processes
by: Foffano, Daniele, et al.
Published: (2023)

Learning Algorithms for Verification of Markov Decision Processes
by: Brázdil, Tomáš, et al.
Published: (2024)

An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes
by: Angelotti, Giorgio, et al.
Published: (2021)

On the Convergence of Modified Policy Iteration in Risk Sensitive Exponential Cost Markov Decision Processes
by: Murthy, Yashaswini, et al.
Published: (2023)

Revolutionizing System Reliability: The Role of AI in Predictive Maintenance Strategies
by: Bidollahkhani, Michael, et al.
Published: (2024)

Fault Tolerant Dynamic Task Assignment for UAV-based Search Teams
by: Nasir, Ali, et al.
Published: (2024)

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)

Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
by: Kalagarla, Krishna C., et al.
Published: (2023)

Improved Monte Carlo Planning via Causal Disentanglement for Structurally-Decomposed Markov Decision Processes
by: Liu, Larkin, et al.
Published: (2024)

Toward Decision-Oriented Prognostics: An Integrated Estimate-Optimize Framework for Predictive Maintenance
by: Xie, Zhuojun, et al.
Published: (2025)

Optimizing Task Completion Time Updates Using POMDPs
by: Eddy, Duncan, et al.
Published: (2026)

Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
by: Islam, MD Shafikul, et al.
Published: (2023)

1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization
by: Azeem, Muqsit, et al.
Published: (2024)

Multi-Robot Multi-Queue Control via Exhaustive Assignment Actor-Critic Learning
by: Merati, Mohammad, et al.
Published: (2026)

GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
by: Zhou, Zhehua, et al.
Published: (2024)

Integrated Learning and Optimization for Congestion Management and Profit Maximization in Real-Time Electricity Market
by: Pervez, Imran, et al.
Published: (2024)

AI-Driven Predictive Maintenance with Environmental Context Integration for Connected Vehicles: Simulation, Benchmarking, and Field Validation
by: Khemani, Kushal, et al.
Published: (2026)

AI-Driven Optimization under Uncertainty for Mineral Processing Operations
by: Xu, William, et al.
Published: (2025)

Integrating a Causal Foundation Model into a Prescriptive Maintenance Framework for Optimising Production-Line OEE
by: Saretzky, Felix, et al.
Published: (2025)

Carbon-Aware Orchestration of Integrated Satellite Aerial Terrestrial Networks via Digital Twin
by: Javaid, Shumaila, et al.
Published: (2025)

Towards Hierarchical Multi-Agent Decision-Making for Uncertainty-Aware EV Charging
by: Ting, Lo Pang-Yun, et al.
Published: (2024)

Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making
by: Balim, Haldun, et al.
Published: (2025)

Markov Decision Process and Approximate Dynamic Programming for a Patient Assignment Scheduling problem
by: O'Reilly, Malgorzata M., et al.
Published: (2024)

Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions
by: Yoshioka, Hitoshi, et al.
Published: (2024)

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production
by: Kim, Joon-Young, et al.
Published: (2025)

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

Bayesian Optimization of Process Parameters of a Sensor-Based Sorting System using Gaussian Processes as Surrogate Models
by: Kronenwett, Felix, et al.
Published: (2025)

Energy-Aware Reinforcement Learning for Robotic Manipulation of Articulated Components in Infrastructure Operation and Maintenance
by: Tao, Xiaowen, et al.
Published: (2026)

Machine Learning for the Internet of Underwater Things: From Fundamentals to Implementation
by: Omeke, Kenechi, et al.
Published: (2026)

Generative Predictive Control: Flow Matching Policies for Dynamic and Difficult-to-Demonstrate Tasks
by: Kurtz, Vince, et al.
Published: (2025)

Federated Split Learning for Resource-Constrained Robots in Industrial IoT: Framework Comparison, Optimization Strategies, and Future Directions
by: Ni, Wanli, et al.
Published: (2025)

Current Effect-eliminated Optimal Target Assignment and Motion Planning for a Multi-UUV System
by: Zhu, Danjie, et al.
Published: (2024)

Differentiable Optimization Layered Safety-Critical Control for Risk-Aware Navigation via Conformal Prediction
by: Dong, Jinyang, et al.
Published: (2026)

Distributionally Robust Free Energy Principle for Decision-Making
by: Shafiei, Allahkaram, et al.
Published: (2025)

Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks
by: Chen, Yi-Ping, et al.
Published: (2025)