piquepq's repositories
CombOptNet
Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
milp_constrained_gan
Using MILP to encode constraints of generated game levels.
learn2branch
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
nlp_tutorial
NLP超强入门指南，包括各任务sota模型汇总（文本分类、文本匹配、序列标注、文本生成、语言模型），以及代码、技巧
HiGHS
Linear optimization software
DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
Learning-to-Optimize-Arxiv
The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.
hybrid-cp-rl-solver
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
interval-bound-propagation
This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715
ILP_RL
Evolutionary strategies for learning branch and bound heuristics on ILP.
HRL-for-combinatorial-optimization
Hierarchical deep reinforcement learning for combinatorial optimization problem
graph_comb_opt
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
scip-dagger
A branch-and-bound ILP solver
MinimumVertexCover_DRL
Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
scheduling
static scheduling with branch and bound; dynamic scheduling with RL.
np-hard-deep-reinforcement-learning
pytorch neural combinatorial optimization