ecole
awesome-ml4co
ecole | awesome-ml4co | |
---|---|---|
2 | 1 | |
307 | 1,472 | |
3.6% | 3.2% | |
0.0 | 6.7 | |
about 1 year ago | 3 months ago | |
C++ | Python | |
BSD 3-clause "New" or "Revised" License | - |
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ecole
awesome-ml4co
-
Application of Deep Reinforcement Learning for Operations Research problems
I’m currently the PI for a program which is using RL for a CO problem. This is a great resource to get started in the field. Feel free to DM me if 1) you have any questions or 2) you want job applying this approach to various problems.
What are some alternatives?
MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Awesome-Image-Inpainting - A curated list of image inpainting and video inpainting papers and resources
SeaPearl.jl - Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.
envpool - C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
GNNPapers - Must-read papers on graph neural networks (GNN)
pyTORCS-docker - Docker-based, gym-like torcs environment with vision.
ml4vrp - Geometric Deep Learning Models for Vehicle Routing Problem
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
tensorflow - An Open Source Machine Learning Framework for Everyone