CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning
We propose CocoRNA, a cooperative multi-agent reinforcement learning framework for RNA inverse design.
ProofPaper ↗
Key points
- Designing RNA sequences that reliably fold into specific secondary structures is essential for understanding their biological functions but remains a challenging computational problem.
- CocoRNA simplifies the design task by decomposing it into smaller sub-problems, each solved collaboratively by multiple agents.
- As a result, CocoRNA learns high-quality RNA design policies that generalize effectively to unseen structures without additional training.
- Further experiments on other biological sequence design tasks highlight the effectiveness and broad potential of CocoRNA for complex design tasks.
Sources (1)
- [1]CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement LearningarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 05:43 PM
We propose CocoRNA, a cooperative multi-agent reinforcement learning framework for RNA inverse design.
Designing RNA sequences that reliably fold into specific secondary structures is essential for understanding their biological functions but remains a challenging computational problem.
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