A Mixture-of-Expert Approach to RL-based Dialogue Management. - Yinlam Chow; Aza Tulepbergenov; Ofir Nachum; Moonkyung Ryu; Mohammad Ghavamzadeh; Craig Boutilier (CoRR, 2022)

A Mixture-of-Expert Approach to RL-based Dialogue Management. - Yinlam Chow; Aza Tulepbergenov; Ofir Nachum; Dhawal Gupta; Moonkyung Ryu; Mohammad Ghavamzadeh; Craig Boutilier (ICLR, 2023)

Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management. - Dhawal Gupta; Yinlam Chow; Azamat Tulepbergenov; Mohammad Ghavamzadeh; Craig Boutilier (NeurIPS, 2023)

Factual and Personalized Recommendations using Language Models and Reinforcement Learning. - Jihwan Jeong; Yinlam Chow; Guy Tennenholtz; Chih-Wei Hsu; Azamat Tulepbergenov; Mohammad Ghavamzadeh; Craig Boutilier (CoRR, 2023)

Demystifying Embedding Spaces using Large Language Models. - Guy Tennenholtz; Yinlam Chow; Chih-Wei Hsu; Jihwan Jeong; Lior Shani; Azamat Tulepbergenov; Deepak Ramachandran; Martin Mladenov; Craig Boutilier (ICLR, 2024)