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Model-free Representation Learning and Exploration in Low-rank MDPs


Feb 14, 2021
Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal


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Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies


Jul 24, 2020
Shengpu Tang, Aditya Modi, Michael W. Sjoding, Jenna Wiens

* ICML 2020. Code available at https://github.com/shengpu1126/RL-Set-Valued-Policy 

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Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles


Oct 23, 2019
Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder Singh


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Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations


May 12, 2019
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz

* 12 pages, 7 figures, 2 tables 

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Contextual Markov Decision Processes using Generalized Linear Models


Mar 14, 2019
Aditya Modi, Ambuj Tewari

* In submission 

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Markov Decision Processes with Continuous Side Information


Nov 15, 2017
Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari


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