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Job Shop Scheduling

Scheduling Task

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Showing 1–50 of 92 papers

TitleStatusHype
Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning EnvironmentCode2
Learning to Solve Job Shop Scheduling under UncertaintyCode2
A Production Scheduling Framework for Reinforcement Learning Under Real-World ConstraintsCode1
Starjob: Dataset for LLM-Driven Job Shop SchedulingCode1
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop SchedulingCode1
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling ProblemsCode1
LLMs can ScheduleCode1
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial OptimizationCode1
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but ImprovementCode1
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling ProblemCode1
Self-Labeling the Job Shop Scheduling ProblemCode1
Combinatorial Optimization with Policy Adaptation using Latent Space SearchCode1
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning MethodsCode1
Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approachCode1
An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint ProgrammingCode1
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement LearningCode1
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling ExperimentsCode1
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop SchedulingCode1
Winner Takes It All: Training Performant RL Populations for Combinatorial OptimizationCode1
Learning to generalize Dispatching rules on the Job Shop SchedulingCode1
Decomposition Strategies and Multi-shot ASP Solving for Job-shop SchedulingCode1
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanismCode1
An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agentsCode1
ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learningCode1
A Reinforcement Learning Environment For Job-Shop SchedulingCode1
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement LearningCode1
REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models—0
ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning—0
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem—0
Unraveling the Rainbow: can value-based methods schedule?Code0
Neural Combinatorial Optimization via Preference Optimization—0
Discrete Differential Evolution Particle Swarm Optimization Algorithm for Energy Saving Flexible Job Shop Scheduling Problem Considering Machine Multi States—0
Self-Evaluation for Job-Shop Scheduling—0
Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem—0
A Benchmarking Environment for Worker Flexibility in Flexible Job Shop Scheduling Problems—0
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem—0
Offline reinforcement learning for job-shop scheduling problems—0
A Flexible Job Shop Scheduling Problem Involving Reconfigurable Machine Tools Under Industry 5.0—0
A History-Guided Regional Partitioning Evolutionary Optimization for Solving the Flexible Job Shop Problem with Limited Multi-load Automated Guided Vehicles—0
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics—0
Offline Reinforcement Learning for Learning to Dispatch for Job Shop SchedulingCode0
Developing an Algorithm Selector for Green Configuration in Scheduling Problems—0
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem—0
Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times—0
Graph Neural Networks for Job Shop Scheduling Problems: A Survey—0
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling—0
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations—0
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem—0
Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing—0
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem—0
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