Whose hIndex is higher, the researcher with 499 works or the one with 280 works?
Dipti Srinivasan
Kai Wang et al.: Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. (2020) authored by Finale Doshi-Velez. Stefan Depeweg et al.: Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks. (2016). Finale Doshi-Velez et al.: Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning. (2015) authored by Finale Doshi-Velez. Stefan Depeweg et al.: Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning. Finale Doshi-Velez is the author of Harvineet Singh et al.: Towards Robust Off-Policy Evaluation via Human Inputs. (2019) authored by Finale Doshi-Velez. Anna L. Trella et al.: Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care. (2019) authored by Finale Doshi-Velez. Xuefeng Peng et al.: Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. (2019) authored by Finale Doshi-Velez. Shengpu Tang et al.: Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. (2022) authored by Finale Doshi-Velez. The book "Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare" was authored by Finale Doshi-Velez. Eura Shin et al.: Modeling Mobile Health Users as Reinforcement Learning Agents. (2022) authored by Finale Doshi-Velez.
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Question: Whose hIndex is higher, the researcher with 499 works or the one with 280 works?
Context: Kai Wang et al.: Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. (2020) authored by Finale Doshi-Velez. Stefan Depeweg et al.: Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks. (2016). Finale Doshi-Velez et al.: Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning. (2015) authored by Finale Doshi-Velez. Stefan Depeweg et al.: Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning. Finale Doshi-Velez is the author of Harvineet Singh et al.: Towards Robust Off-Policy Evaluation via Human Inputs. (2019) authored by Finale Doshi-Velez. Anna L. Trella et al.: Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care. (2019) authored by Finale Doshi-Velez. Xuefeng Peng et al.: Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. (2019) authored by Finale Doshi-Velez. Shengpu Tang et al.: Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare. (2022) authored by Finale Doshi-Velez. The book "Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare" was authored by Finale Doshi-Velez. Eura Shin et al.: Modeling Mobile Health Users as Reinforcement Learning Agents. (2022) authored by Finale Doshi-Velez.
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