https://github.com/postech-cvlab/brick-by-brick
Official repository of Brick-by-Brick, presented at NeurIPS-2021
https://github.com/postech-cvlab/brick-by-brick
Last synced: 11 months ago
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Official repository of Brick-by-Brick, presented at NeurIPS-2021
- Host: GitHub
- URL: https://github.com/postech-cvlab/brick-by-brick
- Owner: POSTECH-CVLab
- License: mit
- Created: 2021-07-14T03:36:57.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-05-11T04:04:53.000Z (almost 4 years ago)
- Last Synced: 2025-03-25T23:51:20.599Z (12 months ago)
- Language: Python
- Homepage:
- Size: 174 KB
- Stars: 14
- Watchers: 6
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
This is an official repository of the paper "[Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning](https://proceedings.neurips.cc/paper/2021/hash/2d4027d6df9c0256b8d4474ce88f8c88-Abstract.html)", which has been presented at [NeurIPS-2021](https://neurips.cc/Conferences/2021).
[arXiv version](https://arxiv.org/abs/2110.15481) is also available.
It is still under construction.
## Referred Codebases
We refer to the following codebases.
These repositories are under the MIT license.
* [OpenAI Gym](https://github.com/openai/gym)
* [OpenAI baselines](https://github.com/openai/baselines)
* [Geometric-Primitives](https://github.com/POSTECH-CVLab/Geometric-Primitives)
## Contact
If you have any questions,
please open an issue in this repository,
or contact [Jungtaek Kim](https://jungtaek.github.io).
## Citation
Note that Hyunsoo Chung and Jungtaek Kim equally contributed.
```
@inproceedings{ChungH2021neurips,
title={{Brick-by-Brick}: Combinatorial Construction with Deep Reinforcement Learning},
author={Chung, Hyunsoo and Kim, Jungtaek and Knyazev, Boris and Lee, Jinhwi and Taylor, Graham W. and Park, Jaesik and Cho, Minsu},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
volume={34},
year={2021}
}
```