Work

Model-based reinforcement learning for biological sequence design

Year: 2020

Type: conference-paper

Source: International Conference on Learning Representations

Authors: Christof Angermueller, David Dohan, David Belanger, Ramya Deshpande, Kevin J. Murphy, Lucy J. Colwell

Institutions: Google (United States), Stevens Institute of Technology, California Institute of Technology, Washington State University, University of Cambridge

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2996314716

FWCI: 2.719

Cites: 51

Cited by: 51

Related to: 10