├── .gitmodules
└── README.md


/.gitmodules:
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1 | [submodule "mo_gfn"]
2 | 	path = mo_gfn
3 | 	url = https://github.com/MJ10/mo_gfn
4 | [submodule "mogfn-al"]
5 | 	path = mogfn-al
6 | 	url = https://github.com/MJ10/mogfn-al
7 | 


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/README.md:
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 1 | # Multi-Objective GFlowNets
 2 | 
 3 | This repository contains the code for the experiments in [Multi-Objective GFlowNets](https://arxiv.org/abs/2210.12765). The code is split into different folders as follows:
 4 | 
 5 | * `mo_gfn` - Consists of the experiments on sequence-based domains (N-grams and DNA Aptamers).
 6 | * `mogfn-al` - Consists of the experiments on protein design in the active learning setting with MOGFN-AL.
 7 | 
 8 | Please follow the instructions in each directory to run the experiments. You can also clone any specific repo if you are interested in the specific experiment.
 9 | 
10 | To clone all the repos use the `recursive` option while cloning
11 | ```bash
12 | git clone https://github.com/GFNOrg/multi-objective-gfn --recursive
13 | ```
14 | 
15 | Please reach out to mokshjn00@gmail.com in case you have any issues. Alternatively you can open an issue on Github.
16 | 
17 | ### Citation
18 | ```
19 | @inproceedings{jain2023multi,
20 |   title={Multi-objective gflownets},
21 |   author={Jain, Moksh and Raparthy, Sharath Chandra and Hern{\'a}ndez-Garc{\i}́a, Alex and Rector-Brooks, Jarrid and Bengio, Yoshua and Miret, Santiago and Bengio, Emmanuel},
22 |   booktitle={International Conference on Machine Learning},
23 |   pages={14631--14653},
24 |   year={2023},
25 |   organization={PMLR}
26 | }
27 | ```
28 | 


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