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Showing 651–675 of 3104 papers
Title
Date
Tasks
Status
Hype
Score
A Maximum Independent Set Method for Scheduling Earth Observing Satellite Constellations
Aug 15, 2020
Scheduling
Task Planning
—
Unverified
0
0
Auction-Based Scheduling
Oct 18, 2023
Decision Making
Fairness
—
Unverified
0
0
Auction-based and Distributed Optimization Approaches for Scheduling Observations in Satellite Constellations with Exclusive Orbit Portions
Jun 4, 2021
Distributed Optimization
Earth Observation
—
Unverified
0
0
A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling
Feb 24, 2024
Decision Making
Scheduling
—
Unverified
0
0
A Two-Step Learning and Interpolation Method for Location-Based Channel Database
Dec 4, 2018
Scheduling
—
Unverified
0
0
A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback
Sep 20, 2020
Quantization
Scheduling
—
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 Constraint Programming Model for Scheduling the Unloading of Trains in Ports: Extended
Dec 21, 2023
Scheduling
—
Unverified
0
0
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems
Mar 10, 2021
Combinatorial Optimization
Earth Observation
—
Unverified
0
0
A Two-Phase Safe Vehicle Routing and Scheduling Problem: Formulations and Solution Algorithms
Oct 18, 2017
ARC
Scheduling
—
Unverified
0
0
A Markov Decision Process Approach to Active Meta Learning
Sep 10, 2020
Meta-Learning
Scheduling
—
Unverified
0
0
A Two-phase On-line Joint Scheduling for Welfare Maximization of Charging Station
Aug 22, 2022
Model Predictive Control
Scheduling
—
Unverified
0
0
A two-level machine learning framework for predictive maintenance: comparison of learning formulations
Apr 21, 2022
BIG-bench Machine Learning
Decision Making
—
Unverified
0
0
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback
Jun 9, 2021
Decision Making
Scheduling
—
Unverified
0
0
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 Two-Layers Predictive Algorithm for Workplace EV Charging
Jul 17, 2023
Scheduling
—
Unverified
0
0
AttentionInfluence: Adopting Attention Head Influence for Weak-to-Strong Pretraining Data Selection
May 12, 2025
GSM8K
HumanEval
—
Unverified
0
0
Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry
Mar 7, 2024
Chatbot
Scheduling
—
Unverified
0
0
Attention-Enhanced Prompt Decision Transformers for UAV-Assisted Communications with AoI
May 28, 2025
Deep Reinforcement Learning
Scheduling
—
Unverified
0
0
AlphaEvolve: A coding agent for scientific and algorithmic discovery
Jun 16, 2025
Scheduling
—
Unverified
0
0
A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids
Jan 5, 2024
Q-Learning
Scheduling
—
Unverified
0
0
A Constraint Programming Approach to Fair High School Course Scheduling
Aug 21, 2024
Fairness
Scheduling
—
Unverified
0
0
A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
May 30, 2025
Scheduling
—
Unverified
0
0
An energy-efficient learning solution for the Agile Earth Observation Satellite Scheduling Problem
Mar 3, 2025
Decision Making
Deep Reinforcement Learning
—
Unverified
0
0
Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks
Jul 26, 2024
RAG
Retrieval-augmented Generation
—
Unverified
0
0
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