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attention-learn-to-route

Attention based model for learning to solve different routing problems

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

bq-nco

clustering-datasets

common-used datasets for clustering

compass

:compass: COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dac4ml

drl_to_dfjsp

this repository is used to reappear thesis《Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning》

extnco

fjsp-drl

The code will be available after our paper is accepted.

fjssp-drl

flash-pytorch

Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"

ga-eax

A genetic algorithm using Edge Assembly Crossover for the traveling salesman problem

h-tsp

Official implementation of H-TSP (AAAI2023)

hybrid-cp-rl-solver

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

im_benchmarking

Code for benhcmarking 12 state-of-the-art methods in the field of Influence Maximization

iptv

jsplib

Benchmark instances for job-shop scheduling problem

l2d

Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"

magent

A Platform for Many-agent Reinforcement Learning

mfrl

Mean Field Multi-Agent Reinforcement Learning

multires-np-hard

Symmetry-preserving & Multiresolution learning to solve NP-hard problems in Operations Research

pointerformer

poppy

:hibiscus: Population-Based Reinforcement Learning for Combinatorial Optimization

pyjssp

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.