People

CBMM is committed to developing and supporting new interdisciplinary collaborations that will further our understanding of intelligence.

Videos
Support Us

Yen-Ling Kuo

Yen-Ling Kuo

Yen-Ling

Kuo

Graduate Student

Massachusetts Institute of Technology (MIT)

Associated Research Module:

Associated Research Thrust:

Advisor/s:

Lab Website: MIT InfoLab

CBMM Publications

R. Tejwani, Kuo, Y. - L., Shu, T., Stankovits, B., Gutfreund, D., Tenenbaum, J. B., Katz, B., and Barbu, A., “Zero-shot linear combinations of grounded social interactions with Linear Social MDPs”, in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023.

Y. - L. Kuo, Huang, X., Barbu, A., McGill, S. G., Katz, B., Leonard, J. J., and Rosman, G., “Trajectory Prediction with Linguistic Representations”. 2022.

R. Tejwani, Kuo, Y. - L., Shu, T., Stankovits, B., Gutfreund, D., Tenenbaum, J. B., Katz, B., and Barbu, A., “Incorporating Rich Social Interactions Into MDPs”. 2022.

E. Cheng, Kuo, Y. - L., Cases, I., Katz, B., and Barbu, A., “Spontaneous sign emergence in humans and machines through an embodied communication game”, in JCoLE Workshop, 2022.

E. Cheng, Kuo, Y. - L., Correa, J., Katz, B., Cases, I., and Barbu, A., “Quantifying the Emergence of Symbolic Communication”, CogSci, 2022.

Y. - L. Kuo, Barbu, A., and Katz, B., “Compositional RL Agents That Follow Language Commands in Temporal Logic”. 2021.

Y. - L. Kuo, Katz, B., and Barbu, A., “Compositional Networks Enable Systematic Generalization for Grounded Language Understanding”. 2021.

R. Tejwani, Kuo, Y. - L., Shu, T., Katz, B., and Barbu, A., “Social Interactions as Recursive MDPs”. 2021.

Y. - L. Kuo, Katz, B., and Barbu, A., “Deep compositional robotic planners that follow natural language commands”. 2020.

Y. - L. Kuo, Katz, B., and Barbu, A., “Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas”. 2020.

Y. - L. Kuo, Katz, B., and Barbu, A., “Deep compositional robotic planners that follow natural language commands ”, in International Conference on Robotics and Automation (ICRA), Palais des Congrès de Paris, Paris, France, 2020.

C. Wang, Ross, C., Kuo, Y. - L., Katz, B., and Barbu, A., “Learning a natural-language to LTL executable semantic parser for grounded robotics”. 2020.

C. Wang, Ross, C., Kuo, Y. - L., Katz, B., and Barbu, A., “Learning a Natural-language to LTL Executable Semantic Parser for Grounded Robotics”, Proceedings of Conference on Robot Learning (CoRL-2020), 2020.

Y. - L. Kuo, Katz, B., and Barbu, A., “Deep Compositional Robotic Planners that Follow Natural Language Commands.”, Workshop on Visually Grounded Interaction and Language (ViGIL) at the Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS). Vancouver Convention Centre, Vancouver, Canada, 2019.

Y. - L. Kuo, Barbu, A., and Katz, B., “Deep sequential models for sampling-based planning”, in The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, 2018.