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Christof Angermueller

2 accepted papers

2020

Model-based reinforcement learning for biological sequence design

ICLR 2020poster

The ability to design biological structures such as DNA or proteins would have considerable medical and industrial impact. Doing so presents a challenging black-box optimization problem characterized by the large-batch, low round setting due to the need for labor-intensive wet lab evaluations. In re…

Cited by 167SourceScholar
2020

Population-Based Black-Box Optimization for Biological Sequence Design

ICML 2020poster

The use of black-box optimization for the design of new biological sequences is an emerging research area with potentially revolutionary impact. The cost and latency of wet-lab experiments requires methods that find good sequences in few experimental rounds of large batches of sequences — a setting…

Cited by 67SourcePDFScholar