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Designing Biological Sequences via Meta-Reinforcement Learning and
  Bayesian Optimization

Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization

13 September 2022
Leo Feng
Padideh Nouri
Aneri Muni
Yoshua Bengio
Pierre-Luc Bacon
ArXivPDFHTML

Papers citing "Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization"

3 / 3 papers shown
Title
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li
Hai Zhang
Xinyu Zhang
Shatong Zhu
Junqiao Zhao
Junqiao Zhao
Pheng-Ann Heng
OffRL
43
7
0
04 Feb 2024
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
70
61
0
09 Feb 2023
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
1