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Medical Dead-ends and Learning to Identify High-risk States and Treatments


Oct 08, 2021
Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi


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Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks


Jul 13, 2021
Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee

* In proceedings of ICML 2021 

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An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare


Nov 23, 2020
Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi

* To appear in proceedings of the 2020 Machine Learning for Health workshop at NeurIPS 

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Learning to Represent Action Values as a Hypergraph on the Action Vertices


Oct 28, 2020
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev

* 9 pages, 10 figures, 3 tables 

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Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning


Jun 03, 2019
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli


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Hybrid Reward Architecture for Reinforcement Learning


Nov 28, 2017
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang


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Multi-Advisor Reinforcement Learning


Nov 14, 2017
Romain Laroche, Mehdi Fatemi, Joshua Romoff, Harm van Seijen

* Submitted at ICLR2018 

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Separation of Concerns in Reinforcement Learning


Mar 28, 2017
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche


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Policy Networks with Two-Stage Training for Dialogue Systems


Sep 12, 2016
Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, Kaheer Suleman

* Proceedings of the SIGDIAL 2016 Conference, pages 101--110, Los Angeles, USA, 13-15 September 2016. Association for Computational Linguistics 
* SIGDial 2016 (Submitted: May 2016; Accepted: Jun 30, 2016) 

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