Reinforcement learning as an innovative model-based approach: examples from precision dosing, digital health and computational psychiatry

HIGHLIGHTS

• who: February et al. from the University of Navarra, Spain have published the research: Reinforcement learning as an innovative model-based approach: Examples from precision dosing, digital health and computational psychiatry, in the Journal: (JOURNAL)
• what: In the appendix, the authors propose to demystify how RL algorithms-such as temporal difference Q-learning, repeatedly mentioned here-work, taking a simple illustration from video gaming. One of the particularly interesting aspects of the research on RL algorithms for HeartSteps is that, beyond the innovative nature of the work purely related to the design of personalized interventions . . .
  

   

  

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