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Incorporating Rich Social Interactions Into MDPs


Oct 22, 2021
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu

* Submitted to the 39th IEEE Conference on Robotics and Automation (ICRA 2022). Do not distribute 

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Trajectory Prediction with Linguistic Representations


Oct 19, 2021
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman


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Learning a natural-language to LTL executable semantic parser for grounded robotics


Aug 11, 2020
Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu

* 10 pages, 2 figures, Submitted to Conference on Robot Learning (CoRL) 2020; Fix author list to reflect CoRL submission 

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Compositional Networks Enable Systematic Generalization for Grounded Language Understanding


Aug 06, 2020
Yen-Ling Kuo, Boris Katz, Andrei Barbu


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Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas


Jun 01, 2020
Yen-Ling Kuo, Boris Katz, Andrei Barbu


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Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach


Mar 08, 2020
Yu-Siang Wang, Yen-Ling Kuo, Boris Katz

* 7 pages, 5 figures 

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Deep compositional robotic planners that follow natural language commands


Feb 19, 2020
Yen-Ling Kuo, Boris Katz, Andrei Barbu

* Accepted in ICRA 2020 

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Deep sequential models for sampling-based planning


Oct 01, 2018
Yen-Ling Kuo, Andrei Barbu, Boris Katz

* Published in IROS 2018 

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