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Authors: Stephen Obonyo 1 ; Nicolas Jouandeau 1 and Dickson Owuor 2

Affiliations: 1 LIASD, Paris 8 University, Paris, France ; 2 School of Computing and Enfineering Sciences, Strathmore University, Nairobi, Kenya

Keyword(s): Self-playing, RNA Inverse Folding, Reinforcement Learning, Computational Biology.

Abstract: Self-play (SP) is a method in Reinforcement Learning (RL) where an agent learns from the environment by playing against itself until the policy and value functions converge. The SP-based methods have recorded state-of-the-art results in playing different computer games such as Chess, Go and Othello. In this paper, we show how the RNA sequence design problem where a sequence is designed to match a given target structure can be modelled through the SP while performing the state-value evaluation using a deep value network. Our model dubbed RNASP recorded the best and very competitive results on the benchmark RNA design datasets. This work also motivates the application of the self-play to other Computational Biology problems.

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Paper citation in several formats:
Obonyo, S.; Jouandeau, N. and Owuor, D. (2022). Designing RNA Sequences by Self-play. In Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - NCTA; ISBN 978-989-758-611-8; ISSN 2184-3236, SciTePress, pages 305-312. DOI: 10.5220/0011550300003332

@conference{ncta22,
author={Stephen Obonyo. and Nicolas Jouandeau. and Dickson Owuor.},
title={Designing RNA Sequences by Self-play},
booktitle={Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - NCTA},
year={2022},
pages={305-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011550300003332},
isbn={978-989-758-611-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computational Intelligence (IJCCI 2022) - NCTA
TI - Designing RNA Sequences by Self-play
SN - 978-989-758-611-8
IS - 2184-3236
AU - Obonyo, S.
AU - Jouandeau, N.
AU - Owuor, D.
PY - 2022
SP - 305
EP - 312
DO - 10.5220/0011550300003332
PB - SciTePress

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