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Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming


Nov 10, 2020
Zhenpeng Zhou, Ahmad Beirami, Paul Crook, Pararth Shah, Rajen Subba, Alborz Geramifard


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User Memory Reasoning for Conversational Recommendation


May 30, 2020
Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu


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Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue


Sep 09, 2019
Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, Jason Weston

* EMNLP 2019 

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User Modeling for Task Oriented Dialogues


Nov 11, 2018
Izzeddin Gur, Dilek Hakkani-Tur, Gokhan Tur, Pararth Shah

* Accepted at SLT 2018 

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FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning


May 16, 2018
Pararth Shah, Marek Fiser, Aleksandra Faust, J. Chase Kew, Dilek Hakkani-Tur

* Third Workshop in Machine Learning in the Planning and Control of Robot Motion at ICRA, 2018 
* 7 pages, 8 figures 

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Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems


Apr 18, 2018
Bing Liu, Gokhan Tur, Dilek Hakkani-Tur, Pararth Shah, Larry Heck

* To appear in NAACL 2018 as a long paper 

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Building a Conversational Agent Overnight with Dialogue Self-Play


Jan 15, 2018
Pararth Shah, Dilek Hakkani-Tür, Gokhan Tür, Abhinav Rastogi, Ankur Bapna, Neha Nayak, Larry Heck

* 11 pages, 4 figures 

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Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning


Dec 22, 2017
Saurabh Kumar, Pararth Shah, Dilek Hakkani-Tur, Larry Heck

* Hierarchical Reinforcement Learning Workshop at the 31st Conference on Neural Information Processing Systems 

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End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning


Nov 30, 2017
Bing Liu, Gokhan Tur, Dilek Hakkani-Tur, Pararth Shah, Larry Heck


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