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Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning


Jul 25, 2022
Deborah Cohen, Moonkyung Ryu, Yinlam Chow, Orgad Keller, Ido Greenberg, Avinatan Hassidim, Michael Fink, Yossi Matias, Idan Szpektor, Craig Boutilier, Gal Elidan


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A Mixture-of-Expert Approach to RL-based Dialogue Management


May 31, 2022
Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, MoonKyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier


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Efficient Risk-Averse Reinforcement Learning


May 10, 2022
Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor


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SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition


Feb 10, 2022
Dylan Slack, Yinlam Chow, Bo Dai, Nevan Wichers


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Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors


Feb 06, 2022
Christina Göpfert, Yinlam Chow, Chih-wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier


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Non-Stationary Latent Bandits


Dec 01, 2020
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier

* 15 pages, 4 figures 

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CoinDICE: Off-Policy Confidence Interval Estimation


Oct 22, 2020
Bo Dai, Ofir Nachum, Yinlam Chow, Lihong Li, Csaba Szepesvári, Dale Schuurmans

* To appear at NeurIPS 2020 as spotlight 

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Safe Reinforcement Learning with Natural Language Constraints


Oct 11, 2020
Tsung-Yen Yang, Michael Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan

* The first two authors contributed equally 

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Variational Model-based Policy Optimization


Jun 24, 2020
Yinlam Chow, Brandon Cui, MoonKyung Ryu, Mohammad Ghavamzadeh


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Control-Aware Representations for Model-based Reinforcement Learning


Jun 24, 2020
Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh


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