EECE571F-project
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EECE571F-project
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.vscode
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B&B
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RL_ecole
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RL_self_implemented
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learn2branch_gasse
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learn2branch_self
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ml4co-competition
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models
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outputs
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policy_graident
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reward_study
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.DS_Store
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.gitignore
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README.md
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results.xlsx
README.md
EECE571F project: Reinforcement Learning for Variable Selection in Branch and Bound
About
This repo is largely un-organized and I wouldn't suggest running any of the code unless you read through this document.
Acknowledgement
A portion of our code to implement Exact Combinatorial Optimization with Graph Convolutional Neural Networks, Gasse et. all, is derived from ml4co-competition.
Description
Our final code to produce results is stored in ml4co-competition/common and ml4co-competition/submissions. Earlier versions of the project code is stored in the following folders:
B&B--> Version 1learn2branch_gasse--> Version 2; uses Ecole.ailearn2branch_self--> Version 3; first attempt to solve variable selection with Ecole.ai and RL using an on-policy methodml4co-competition--> Version 4; final code to reproduce results, uses Ecole.ai and an off-policy RL agent.
An excel file is in the root of the repo, which was used to calculate performance metrics outlined in our report.