Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Niclas Ståhl
Deep Reinforcement Learning for Multiparameter Optimization in De Novo Drug Design
Journal of Chemical Information and Modeling
Computer Science Applications
Chemistry
Chemical Engineering
Library
Information Sciences
Related publications
Molecular De-Novo Design Through Deep Reinforcement Learning
Journal of Cheminformatics
Computer Graphics
Information Sciences
Library
Theoretical Chemistry
Computer Science Applications
Computer-Aided Design
Physical
De Novo Peptide Sequencing by Deep Learning
Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
Grounding Language for Transfer in Deep Reinforcement Learning
Journal of Artificial Intelligence Research
Artificial Intelligence
Self-Reflective Deep Reinforcement Learning
De Novo Nanopore Read Quality Improvement Using Deep Learning
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology
Deep Reinforcement Learning on HVAC Control
Information Technology and Management Science
Accelerated Bayesian Optimization for Deep Learning
An Exploration Strategy Improves the Diversity of De Novo Ligands Using Deep Reinforcement Learning – A Case for the 3 Adenosine A2A Receptor
De Novo Drug Design - Ye Olde Scoring Problem Revisited
Molecular Informatics
Organic Chemistry
Drug Discovery
Computer Science Applications
Molecular Medicine
Structural Biology