2023
DOI: 10.1039/d3dd00076a
|View full text |Cite
|
Sign up to set email alerts
|

Understanding and improving zeroth-order optimization methods on AI-driven molecule optimization

Abstract: Molecule optimization is an important problem in chemical discovery and has been approached using many techniques, including generative modeling, reinforcement learning, genetic algorithms, and much more. Recent work has also...

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 22 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?