Questions to Panelists of RL + Healthcare Topic of RL4RealLife2020
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Ideas
Pros and cons
Votes
Causal RL
by Robin Ranjit Singh Chauhan
Is RL without causal models, appropriate in a health care setting?
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Causal RL
by Robin Ranjit Singh Chauhan
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is there any work analyzing how much we can learn using logged data with limited coverage?
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How to evaluate the learned policy in healthcare? How much interactions required to learn a policy?
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This is about forming rewards. Is this a way to combine some of the tree based ideas that Finale spoke about with online preference elicitation to better obtain clinician preferences.
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How can RL researchers form teams that will lead to actual implementation of RL by a health care system? What kinds of people should we involve?
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How much clinical health knowledge do graduate students and postdocs need to be succesful in this area?
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What does it mean for RL to make an inpact in healthcare? Is the desired impact, the actual use of the algorithm by a healthcare system/clinic?
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How to design RL solutions robust to differences between patient populations, standards and treatments at hospital- state- and country levels?
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How will causality help the application of RL in healthcare? In general, what is the relationship between RL and causality?
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Does privacy render data collection for Healthcare difficult. The issue is more pronounced for RL given that they need more data.
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How can we design interpretable RL agents for high-stakes decisions like healthcare?
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Is (deep) RL ready for healthcare? How to make RL work in healthcare?
