Awesome machine learning for combinatorial optimization papers.
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Updated
Mar 1, 2024 - Python
Awesome machine learning for combinatorial optimization papers.
A research protocol for deep graph matching.
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…
Extensible Combinatorial Optimization Learning Environments
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
An OpenAi Gym environment for the Job Shop Scheduling problem.
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
Summarize Massive Datasets using Submodular Optimization
BCP-MAPF – branch-and-cut-and-price for multi-agent path finding
a payment application intended for deployment by the united states treasury that replaces banking with accounting
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
Conjure: The Automated Constraint Modelling Tool
A basic implementation of genetic algorithm for traveling salesman problem
Minotaur Toolkit for Mixed-Integer Nonlinear Optimization
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
A Python Graph Matching Toolkit.
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
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