Agent Based Decision Support System Using Reinforcement Learning Under Emergency Circumstances

By D. Thapa, Insung Jung, Gi-Nam Wang. 2005

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Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning (2016, background): “…deployed some policy, e.g., for determining which advertisement to show a user visiting a website (Theocharous et al., 2015), for determining which medical treatment to suggest for a patient (Thapa et al., 2005), or for suggesting a personalized curriculum for a student (Mandel et al., 2014).”
Benchmarks for Deep Off-Policy Evaluation (2021, background): “Batch (or ofﬂine) reinforcement learning, has been studied extensively in domains such as healthcare (Thapa et al., 2005; Raghu et al., 2018), recommender systems (Dudík et al., 2014; Theocharous et al., 2015; Swaminathan et al., 2017), education (Mandel et al., 2014), and robotics (Kalashnikov et…”
Safe Reinforcement Learning (2015, background): “Consider, for example, self driving cars (Kim et al., 2013), machines that guide medical policy and practice (Thapa et al., 2005), and general purpose robotic workers (Haddadin et al., 2011), all of which have the potential to revolutionize our lives for the better.”