Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant improvements before it can be applied in clinical settings, finds a new study by Weill Cornell Medicine and Rockefeller University researchers.
Reinforcement Learning (RL) is a class of machine learning algorithms able to make a series of decisions over time. Responsible for recent AI...
