Fig. 2: Challenges of reinforcement learning.
From: A Primer on Reinforcement Learning in Medicine for Clinicians
A visual description of the ongoing challenges in RL is provided in Fig. 2. These could be categorized as challenges in formulation of state-space, action-space and reward, challenges in evaluation and challenges with deployment into a production environment. Source: Original. License: Created with BioRender.com. Agreement number: SA26VQJVTH for NPJDM (Issued on May 30th, 2024). This document is to confirm that Pushkala Jayaraman has been granted a license to use the BioRender content, including icons, templates and other original artwork, appearing in the attached completed graphic pursuant to BioRender’s Academic License Terms. This license permits BioRender content to be sublicensed for use in journal publications. All rights and ownership of BioRender content are reserved by BioRender. All completed graphics must be accompanied by the following citation: “Created with BioRender.com”. BioRender content included in the completed graphic is not licensed for any commercial uses beyond publication in a journal. For any commercial use of this figure, users may, if allowed, recreate it in BioRender under an Industry BioRender Plan. For any questions regarding this document, or other questions about publishing with BioRender refer to our BioRender Publication Guide or contact BioRender Support at support@biorender.com.
