Nature

Inverse Design Using Goal-Conditioned Reinforcement Learning for Organic Semiconductor Materials from Benzene and Thiophene-based Polycyclic Aromatic Compounds

We present a machine learning approach for the inverse design of organic semiconductor materials from benzene and thiophene-based polycyclic aromatic compounds (PACs). Inverse design is an efficient ...
Nature

Optimization of infectious disease intervention measures using reinforcement learning with UK COVID-19 epidemic data

Globally, the outbreaks of infectious diseases have exerted an extremely profound and severe influence on health security and the economy. During the critical phases of epidemics, devising effective ...
Purdue University

Machine Learning in Action: Tools, Techniques, and Industrial Cases

Machine Learning in Action: Tools, Techniques, and Industrial Cases Bring machine learning to life with Machine Learning in Action. This hands-on course teaches you how to build and apply eight key ...