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Job Shop Scheduling

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ai-for-decision-making-tue/NCO-for-Stochastic-FJSP

공식 코드

Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems

https://github.com/ai-for-decision-making-tue/job_shop_scheduling_benchmark

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Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods

https://github.com/aj-correa/unraveling-the-rainbow

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Unraveling the Rainbow: can value-based methods schedule?

https://github.com/andreacorsini1/selflabelingjobshop

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Self-Labeling the Job Shop Scheduling Problem

https://github.com/dawoz/jsp-deeprl-seq2seq

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Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach

https://github.com/giorgiograni/jssp_actor-critic_agasucci_monaci_grani

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An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents

https://github.com/grimmlab/gumbeldore

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Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement

https://github.com/grimmlab/policy-based-self-competition

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Policy-Based Self-Competition for Planning Problems

https://github.com/grimmlab/step-and-reconsider

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Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization

https://github.com/ingambe/End2End-Job-Shop-Scheduling-CP

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An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint Programming

https://github.com/instadeepai/compass

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Combinatorial Optimization with Policy Adaptation using Latent Space Search

https://github.com/jesserem/Offline-LD

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Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling

https://github.com/jolibrain/wheatley

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Learning to Solve Job Shop Scheduling under Uncertainty

https://github.com/mit-wu-lab/l-rho

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Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling

https://github.com/mkuzma96/customprod

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Addressing distributional shifts in operations management: The case of order fulfillment in customized production

https://github.com/optimization-and-machine-learning-lab/job-shop

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Learning to generalize Dispatching rules on the Job Shop Scheduling

https://github.com/pabloo22/job_shop_lib

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Solving the Job Shop Scheduling Problem with Graph Neural Networks: A Customizable Reinforcement Learning Environment

https://github.com/prosysscience/JSS

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A Reinforcement Learning Environment For Job-Shop Scheduling

https://github.com/prosysscience/JSSEnv

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A Reinforcement Learning Environment For Job-Shop Scheduling

https://github.com/prosysscience/job-shop-scheduling

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Decomposition Strategies and Multi-shot ASP Solving for Job-shop Scheduling

https://github.com/proto-lab-ro/jobshoplab

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A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints

https://github.com/quasiquasar/gta-jobshop-data

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Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling

https://github.com/starjob42/Starjob

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Starjob: Dataset for LLM-Driven Job Shop Scheduling

https://github.com/starjob42/datasetjsp

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LLMs can Schedule

https://github.com/tmdt-buw/schlably

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schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments

https://github.com/willtl/online-printing-shop

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Metaheuristics for the Online Printing Shop Scheduling Problem

https://github.com/wrqccc/fjsp-drl

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Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning

https://github.com/yunhui1998/gymjsp

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Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism

https://github.com/zcaicaros/l2s

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Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling

https://github.com/zcaicaros/tbgat

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Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem

https://github.com/zcajiayin/L2D

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Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

https://github.com/MattJud/gnn_jssp

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

https://github.com/dmksjfl/Job_Shop_Scheduling_Problem_with_Reinforcement_Learning

A Reinforcement Learning Environment For Job-Shop Scheduling

https://github.com/instadeepai/poppy

Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization

https://github.com/thomasWeise/jsspInstancesAndResults

A Hybrid Bacterial Foraging Algorithm For Solving Job Shop Scheduling Problems

https://github.com/wsgisler/job-shop-scheduling

Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem

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