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[QA] Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
from Arxiv Papers Hosted by Igor Melnyk
The paper introduces Earliest Disagreement Q-Evaluation (EDQ), a deep-Q algorithm that estimates the timing and impact of decisions in healthcare and other fields, validated through survival and tumor growth experiments. https://arxiv.org/abs//2503.15890 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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How long is this episode of Arxiv Papers?
This episode is 7 minutes long.
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This episode was published on March 21, 2025.
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