Damped Online Newton Step for Portfolio Selection
February 2022
Abstract
February 2022
Abstract
March, 2022
Abstract
September, 2021
Summary
The accelerating merger of information technology and cancer research heralds the advent of novel methods and models for clinical decision making in oncology. Reinforcement learning—as one of the major subspecialties in machine learning—holds the potential for the development of high-performance decision support tools. However, many recent studies of reinforcement learning in oncology suffer from common shortcomings and pitfalls that need to be addressed for the development of safe, interpretable and reliable algorithms for future clinical practice.
November, 2020
Abstract