| | --- |
| | datasets: |
| | - yangyz1230/TACO |
| | tags: |
| | - biology |
| | --- |
| | |
| | This repository contains reward model checkpoints for our ICLR 2025 paper: [Regulatory DNA Sequence Design with Reinforcement Learning](https://huggingface.co/papers/2503.07981). |
| |
|
| | ## Citation |
| |
|
| | If you find these checkpoints useful in your research, please cite our work: |
| |
|
| | ```bibtex |
| | @inproceedings{yang2025regulatory, |
| | title={Regulatory DNA Sequence Design with Reinforcement Learning}, |
| | author={Zhao Yang and Bing Su and Chuan Cao and Ji-Rong Wen}, |
| | booktitle={The Thirteenth International Conference on Learning Representations}, |
| | year={2025}, |
| | url={https://openreview.net/forum?id=F4IMiNhim1} |
| | } |
