grant
Taming sequential decision-making with reinforcement learning: non-stationarity, heterogeneity, and online/offline comparison
Organization Washington UniversityLocation SAINT LOUIS, United StatesPosted 1 Sept 2025Deadline 31 Aug 2028
NSFUS FederalResearch GrantScience FoundationMO
Description preview
Many decision-making tasks in healthcare, business, and economics can be naturally framed as online sequential decision-making problems, where decisions are made and outcomes are observed iteratively to achieve long-term objectives. Reinforcement learning (RL) offers a powerful framework and has achieved significant success in engineering domains,…
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