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Filters: Author is Yen-Ling Kuo [Clear All Filters]
Zero-shot linear combinations of grounded social interactions with Linear Social MDPs. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI) (2023).
Incorporating Rich Social Interactions Into MDPs. (2022). CBMM-Memo-133.pdf (1.68 MB)
Quantifying the Emergence of Symbolic Communication. CogSci (2022). at <https://escholarship.org/uc/item/08n3293v>
Spontaneous sign emergence in humans and machines through an embodied communication game. JCoLE Workshop (2022).
Trajectory Prediction with Linguistic Representations. (2022). CBMM-Memo-132.pdf (1.15 MB)
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. (2021). CBMM-Memo-129.pdf (1.2 MB)
Compositional RL Agents That Follow Language Commands in Temporal Logic. (2021). CBMM-Memo-127.pdf (2.12 MB)
Social Interactions as Recursive MDPs. (2021). CBMM-Memo-130.pdf (1.52 MB)
Deep compositional robotic planners that follow natural language commands. (2020). CBMM-Memo-124.pdf (1.03 MB)
Deep compositional robotic planners that follow natural language commands . International Conference on Robotics and Automation (ICRA) (2020).
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. (2020). CBMM-Memo-125.pdf (2.12 MB)
Learning a Natural-language to LTL Executable Semantic Parser for Grounded Robotics. (Proceedings of Conference on Robot Learning (CoRL-2020), 2020). at <https://corlconf.github.io/paper_385/>
Learning a natural-language to LTL executable semantic parser for grounded robotics. (2020). doi:https://doi.org/10.48550/arXiv.2008.03277 CBMM-Memo-122.pdf (1.03 MB)
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), (2019). at <https://vigilworkshop.github.io/>
Deep sequential models for sampling-based planning. The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018) (2018). doi:10.1109/IROS.2018.8593947 kuo2018planning.pdf (637.67 KB)