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Job Shop Scheduling

Scheduling Task

Papers

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Showing 1–25 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
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