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Scheduling

Project or Job Scheduling

Papers

Showing 251300 of 3104 papers

TitleStatusHype
Multi-agent Path Finding for Cooperative Autonomous DrivingCode1
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement LearningCode1
Neural Airport Ground HandlingCode1
Workflow Optimization for Parallel Split LearningCode1
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task AllocationCode1
MCUNet: Tiny Deep Learning on IoT DevicesCode1
Automated Learning Rate Scheduler for Large-batch TrainingCode1
A Stochastic Game Framework for Efficient Energy Management in Microgrid NetworksCode1
MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling ProblemCode1
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep LearningCode1
LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task ActivitiesCode1
Link Scheduling using Graph Neural NetworksCode1
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement LearningCode1
LLMs can ScheduleCode1
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman ProblemCode1
Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference ServingCode1
A Unified Framework for Soft Threshold PruningCode1
A Production Scheduling Framework for Reinforcement Learning Under Real-World ConstraintsCode1
A Reinforcement Learning Environment For Job-Shop SchedulingCode1
A deep generative model for probabilistic energy forecasting in power systems: normalizing flowsCode1
An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint ProgrammingCode1
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental PlatformsCode1
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud EnvironmentsCode1
Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge NetworksCode1
Combinatorial Optimization with Policy Adaptation using Latent Space SearchCode1
MLink: Linking Black-Box Models from Multiple Domains for Collaborative InferenceCode1
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop SchedulingCode1
Learning to Simulate Daily Activities via Modeling Dynamic Human NeedsCode1
Multi Agent Reinforcement Learning for Sequential Satellite Assignment ProblemsCode1
MANGO: A Python Library for Parallel Hyperparameter TuningCode1
Multi-objective Deep Reinforcement Learning for Mobile Edge ComputingCode1
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling ProblemsCode1
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU DatacentersCode1
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal SchedulingCode1
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional PipelinesCode1
Compositional Video Synthesis with Action GraphsCode1
A Quantitative Survey of Communication Optimizations in Distributed Deep LearningCode1
ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization UpdatesCode1
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling ExperimentsCode1
ControlLLM: Augment Language Models with Tools by Searching on GraphsCode1
ConsumerBench: Benchmarking Generative AI Applications on End-User DevicesCode1
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning ApproachCode1
Learning to Explore for Stochastic Gradient MCMCCode0
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution ShiftsCode0
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented SystemsCode0
Learning to Identify Top Elo Ratings: A Dueling Bandits ApproachCode0
Learning From Scenarios for Stochastic Repairable SchedulingCode0
Learning Data Augmentation Schedules for Natural Language ProcessingCode0
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