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Scheduling

Project or Job Scheduling

Papers

Showing 101125 of 3104 papers

TitleStatusHype
WHALES: A Multi-agent Scheduling Dataset for Enhanced Cooperation in Autonomous DrivingCode1
DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoVCode1
Unveiling Redundancy in Diffusion Transformers (DiTs): A Systematic StudyCode1
How Does Critical Batch Size Scale in Pre-training?Code1
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-DesignCode1
Agent-Oriented Planning in Multi-Agent SystemsCode1
Parallel AutoRegressive Models for Multi-Agent Combinatorial OptimizationCode1
Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement LearningCode1
AdaNAT: Exploring Adaptive Policy for Token-Based Image GenerationCode1
LLMs can ScheduleCode1
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial OptimizationCode1
Self-Guided Generation of Minority Samples Using Diffusion ModelsCode1
Joint Load and Capacity Scheduling for Flexible Radio Resource Management of High-Throughput SatellitesCode1
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing NetworkCode1
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task AllocationCode1
Large Language Models for Power Scheduling: A User-Centric ApproachCode1
GOAL: A Generalist Combinatorial Optimization Agent LearningCode1
Differentiable Combinatorial Scheduling at ScaleCode1
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkCode1
Treatment Effect Estimation for User Interest Exploration on Recommender SystemsCode1
ODMixer: Fine-grained Spatial-temporal MLP for Metro Origin-Destination PredictionCode1
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length PredictionCode1
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but ImprovementCode1
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape SchedulingCode1
ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization UpdatesCode1
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