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Scheduling

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Showing 2251–2275 of 3104 papers

TitleStatusHype
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits—0
Learning to Schedule Heuristics in Branch and BoundCode0
ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature—0
DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling—0
A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations—0
A novel feed rate scheduling method based on Sigmoid function with chord error and kinematics constraints—0
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS—0
Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees—0
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning—0
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions—0
Improving Multi-agent Coordination by Learning to Estimate Contention—0
LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control—0
Apply Artificial Neural Network to Solving Manpower Scheduling ProblemCode0
An Intelligent Model for Solving Manpower Scheduling ProblemsCode0
Dynamic Reliability Management in Neuromorphic Computing—0
Survey on Multi-Agent Q-Learning frameworks for resource management in wireless sensor network—0
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators—0
Operating Room (Re)Scheduling with Bed Management via ASP—0
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence—0
Robust Control for Lane Keeping System Using Linear Parameter Varying Approach with Scheduling Variables Reduction—0
Multi-Agent Routing and Scheduling Through Coalition Formation—0
Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant—0
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling—0
Discrete-Time Mean Field Control with Environment States—0
Convergence Analysis and System Design for Federated Learning over Wireless Networks—0
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