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Yen-Ling Kuo
Yen-Ling Kuo
MIT, CSAIL
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
Community-based game design: experiments on social games for commonsense data collection
Y Kuo, JC Lee, K Chiang, R Wang, E Shen, C Chan, JY Hsu
Proceedings of the acm sigkdd workshop on human computation, 15-22, 2009
972009
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas
YL Kuo, B Katz, A Barbu
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
192020
Deep sequential models for sampling-based planning
YL Kuo, A Barbu, B Katz
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
152018
Deep compositional robotic planners that follow natural language commands
YL Kuo, B Katz, A Barbu
2020 IEEE International Conference on Robotics and Automation (ICRA), 4906-4912, 2020
142020
Contextual restaurant recommendation utilizing implicit feedback
WT Kuo, YL Kuo, JY Hsu, RTH Tsai
人工知能学会全国大会論文集 第 26 回全国大会 (2012), 2012
142012
Goal-oriented knowledge collection
YL Kuo, JY Hsu
2010 AAAI Fall Symposium Series, 2010
102010
Contextual commonsense knowledge acquisition from social content by crowd-sourcing explanations
YL Kuo, JY Hsu, F Shih
Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
82012
Compositional networks enable systematic generalization for grounded language understanding
YL Kuo, B Katz, A Barbu
arXiv preprint arXiv:2008.02742, 2020
72020
Resource-bounded crowd-sourcing of commonsense knowledge
YL Kuo, JY Hsu
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
72011
Bridging common sense knowledge bases with analogy by graph similarity
YL Kuo, JY Hsu
Workshops at the twenty-fourth AAAI conference on artificial intelligence, 2010
72010
Social interactions as recursive mdps
R Tejwani, YL Kuo, T Shu, B Katz, A Barbu
Conference on Robot Learning, 949-958, 2022
62022
Learning a natural-language to LTL executable semantic parser for grounded robotics
C Wang, C Ross, YL Kuo, B Katz, A Barbu
Conference on Robot Learning (CoRL), 2020
62020
Learning a natural-language to LTL executable semantic parser for grounded robotics
C Wang, C Ross, YL Kuo, B Katz, A Barbu
Conference on Robot Learning (CoRL), 2020
62020
Deep sequential models for sampling-based planning. In 2018 IEEE
YL Kuo, A Barbu, B Katz
RSJ International Conference on Intelligent Robots and Systems (IROS), 6490-6497, 0
6
IntuModels: Enabling Interactive Modeling for the Novice through Idea Generation and Selection
YT Cho, YL Kuo, YT Yeh, YY Huang, PL Huang
Creativity and Cognition, 1-10, 2021
22021
Planning for reasoning with multiple common sense knowledge bases
YL Kuo, JYJ Hsu
ACM Transactions on Interactive Intelligent Systems (TiiS) 2 (3), 1-24, 2012
22012
Incorporating rich social interactions into mdps
R Tejwani, YL Kuo, T Shu, B Stankovits, D Gutfreund, JB Tenenbaum, ...
2022 International Conference on Robotics and Automation (ICRA), 7395-7401, 2022
12022
Trajectory prediction with linguistic representations
YL Kuo, X Huang, A Barbu, SG McGill, B Katz, JJ Leonard, G Rosman
2022 International Conference on Robotics and Automation (ICRA), 2868-2875, 2022
12022
Compositional RL Agents That Follow Language Commands in Temporal Logic
YL Kuo, B Katz, A Barbu
Frontiers in Robotics and AI 8, 2021
12021
Investigating the decoders of maximum likelihood sequence models: A look-ahead approach
YS Wang, YL Kuo, B Katz
arXiv preprint arXiv:2003.03716, 2020
12020
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Articles 1–20