Reinforcement learning can be used to create personalized learning experiences for students. The outputs are the treatment options or drug dosages for every stage of the patient’s journey.
The input is a set of clinical observations and assessments of a patient. Reinforcement learning can be used to create personalized treatment strategies, known as dynamic treatment regimes (DTRs), for patients with long-term illnesses. Some real-life applications of reinforcement learning include:
