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Showing 301–325 of 3104 papers
Title
Date
Tasks
Status
Hype
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets
May 16, 2025
CPU
Scheduling
—
Unverified
0
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing
Jun 3, 2024
Cloud Computing
Deep Reinforcement Learning
—
Unverified
0
An advanced methodology to enhance energy efficiency in a hospital cooling-water system
Nov 1, 2021
Scheduling
—
Unverified
0
Advancing MG Energy Management: A Rolling Horizon Optimization Framework for Three-Phase Unbalanced Networks Integrating Convex Formulations
Mar 19, 2025
energy management
Management
—
Unverified
0
An Adaptive Volatility-based Learning Rate Scheduler
Jul 11, 2025
Scheduling
—
Unverified
0
An adaptive Simulated Annealing-based satellite observation scheduling method combined with a dynamic task clustering strategy
Jan 14, 2014
Clustering
Scheduling
—
Unverified
0
Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
Jan 26, 2025
Code Generation
energy management
—
Unverified
0
Active Deformable Part Models
Apr 1, 2014
General Classification
object-detection
—
Unverified
0
A Bring-Your-Own-Model Approach for ML-Driven Storage Placement in Warehouse-Scale Computers
Jan 10, 2025
Scheduling
—
Unverified
0
An adaptive large neighborhood search heuristic for the multi-port continuous berth allocation problem
Feb 5, 2023
Scheduling
—
Unverified
0
An adaptive bi-objective optimization algorithm for the satellite image data downlink scheduling problem considering request split
Jun 28, 2022
Scheduling
—
Unverified
0
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning
Nov 28, 2023
Deep Reinforcement Learning
Scheduling
—
Unverified
0
An adaptable task-oriented dialog system for stand-alone embedded devices
Jul 1, 2019
Dialogue Management
Management
—
Unverified
0
Advanced Statistical Learning on Short Term Load Process Forecasting
Oct 19, 2021
Decision Making
Management
—
Unverified
0
Action Model Acquisition using LSTM
Oct 3, 2018
model
Scheduling
—
Unverified
0
A Multi-timescale and Chance-Constrained Energy Dispatching Strategy of Integrated Heat-Power Community with Shared Hybrid Energy Storage
Oct 23, 2023
Scheduling
—
Unverified
0
A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks
Jun 6, 2020
Q-Learning
Scheduling
—
Unverified
0
Advanced Scheduling of Electrolyzer Modules for Grid Flexibility
Dec 26, 2024
Scheduling
—
Unverified
0
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids
Mar 25, 2024
Model Predictive Control
Scheduling
—
Unverified
0
A Multi-Objective Planning and Scheduling Framework for Community Energy Storage Systems in Low Voltage Distribution Networks
Jan 6, 2023
energy trading
Scheduling
—
Unverified
0
ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature
May 21, 2021
image-classification
Image Classification
—
Unverified
0
Accelerated Distributed Allocation
Jan 28, 2024
CPU
Management
—
Unverified
0
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency
May 5, 2020
Scheduling
Traveling Salesman Problem
—
Unverified
0
A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment
Dec 16, 2021
regression
Scheduling
—
Unverified
0
A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing
Sep 21, 2015
CPU
Distributed Computing
—
Unverified
0
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