AI for Decision Making @TU/e

Job_Shop_Scheduling_Benchmark_Environments_and_Instances

A benchmarking repo with various solution methods to various machine scheduling problems

DRL-TOBM-CPR

Code for the paper "Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking".

DRL-Guided-Picker-Optimization

drl-order-batching

Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem

ai-for-tsp-competition

This is the official repository of the AI for TSP competition at IJCAI 2021

binoct

Binary Programming Formulation for Learning Classification Trees Using Cplex

ExpensiveOptimBenchmark

learning-2opt-drl

Code Implementation of Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning

MODCMAC

The code implementation of the paper: A Deep Multi-Objective Reinforcement Learning Approach for Infrastructural Maintenance Planning with Non-Linear Utility Functions

MVRSM

MVRSM algorithm for optimising mixed-variable expensive cost functions.

online-auction-data

processtransformer

Transformer Network for Predictive Business Process Monitoring Tasks

StateAggregation_KPs

A State Aggregation for Knapsack Problem

water-pipes-failure-prediction

It contains the water pipes failure data from the Netherlands, and a prediction model

Parcel-loss-prediction-in-last-mile-delivery