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Showing 2631–2640 of 3104 papers
Title
Date
Tasks
Status
Hype
Score
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing
Aug 26, 2019
Deep Reinforcement Learning
Edge-computing
—
Unverified
0
0
A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle
Sep 20, 2022
Deep Reinforcement Learning
Reinforcement Learning (RL)
—
Unverified
0
0
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression
Sep 21, 2023
Scheduling
—
Unverified
0
0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems
Feb 3, 2024
Autonomous Vehicles
Model Predictive Control
—
Unverified
0
0
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode
Aug 29, 2024
Scheduling
—
Unverified
0
0
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT
Nov 21, 2023
Scheduling
Thompson Sampling
—
Unverified
0
0
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids
Mar 25, 2024
Model Predictive Control
Scheduling
—
Unverified
0
0
Advanced Scheduling of Electrolyzer Modules for Grid Flexibility
Dec 26, 2024
Scheduling
—
Unverified
0
0
Advanced Statistical Learning on Short Term Load Process Forecasting
Oct 19, 2021
Decision Making
Management
—
Unverified
0
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
0
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