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Scheduling

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Papers

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Showing 1151–1200 of 3104 papers

TitleStatusHype
Decentralized Learning over Wireless Networks with Broadcast-Based Subgraph Sampling—0
Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach—0
Learning-based Scheduling for Information Accuracy and Freshness in Wireless Networks—0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
A Multi-timescale and Chance-Constrained Energy Dispatching Strategy of Integrated Heat-Power Community with Shared Hybrid Energy Storage—0
Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems—0
A New Time Series Similarity Measure and Its Smart Grid Applications—0
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems—0
Auction-Based Scheduling—0
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN WorkloadsCode0
An Automatic Learning Rate Schedule Algorithm for Achieving Faster Convergence and Steeper Descent—0
Enhancing Column Generation by Reinforcement Learning-Based Hyper-Heuristic for Vehicle Routing and Scheduling Problems—0
Hybrid Reinforcement Learning for Optimizing Pump Sustainability in Real-World Water Distribution Networks—0
Optimal Scheduling of Electric Vehicle Charging with Deep Reinforcement Learning considering End Users Flexibility—0
Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach—0
Optimal Linear Decay Learning Rate Schedules and Further RefinementsCode1
Learning a Reward Function for User-Preferred Appliance SchedulingCode0
Imitation Learning from Observation with Automatic Discount SchedulingCode1
HoloFed: Environment-Adaptive Positioning via Multi-band Reconfigurable Holographic Surfaces and Federated Learning—0
Online Equitable Ride-sharing Car Distribution in a Congested Traffic—0
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice SystemCode1
A Review of Deep Reinforcement Learning in Serverless Computing: Function Scheduling and Resource Auto-Scaling—0
Low-carbon optimal dispatch of integrated energy system considering demand response under the tiered carbon trading mechanism—0
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions—0
Joint Optimization of Charging Infrastructure Placement and Operational Schedules for a Fleet of Battery Electric Trucks—0
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework—0
SelectFormer: Private and Practical Data Selection for Transformers—0
Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling—0
Comparative study of microgrid optimal scheduling under multi-optimization algorithm fusion—0
Efficient Online Scheduling and Routing for Automated Guided Vehicles In Loop-Based Graphs—0
Regulating CPU Temperature With Thermal-Aware Scheduling Using a Reduced Order Learning Thermal Model—0
Joint Scheduling and Trajectory Optimization of Charging UAV in Wireless Rechargeable Sensor Networks—0
Joint Power and 3D Trajectory Optimization for UAV-enabled Wireless Powered Communication Networks with Obstacles—0
SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion ModelsCode0
Diverse Target and Contribution Scheduling for Domain Generalization—0
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem—0
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey—0
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented SystemsCode0
Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial—0
Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach—0
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling—0
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search—0
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design—0
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression—0
Safe Hierarchical Reinforcement Learning for CubeSat Task Scheduling Based on Energy Consumption—0
Diffusion Models for Accurate Channel Distribution Generation—0
Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing—0
A Generalized Delay and Backlog Analysis for Multiplexing URLLC and eMBB: Reconfigurable Intelligent Surfaces or Decode-and-Forward?Code1
A System-Level Energy-Efficient Digital Twin Framework for Runtime Control of Batch Manufacturing Processes—0
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data—0
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