Towards Transparent Robotic Planning via Contrastive Explanations. - Shenghui Chen; Kayla Boggess; Lu Feng 001 (IROS, 2020)

Towards Personalized Explanation of Robotic Planning via User Feedback. - Kayla Boggess; Shenghui Chen; Lu Feng 001 (CoRR, 2020)

Multi-Objective Controller Synthesis with Uncertain Human Preferences. - Shenghui Chen; Kayla Boggess; David Parker 001; Lu Feng 001 (ICCPS, 2022)

Toward Policy Explanations for Multi-Agent Reinforcement Learning. - Kayla Boggess; Sarit Kraus; Lu Feng 001 (IJCAI, 2022)

Explainable Multi-Agent Reinforcement Learning for Temporal Queries. - Kayla Boggess; Sarit Kraus; Lu Feng 001 (IJCAI, 2023)

Explanations for Multi-Agent Reinforcement Learning. - Kayla Boggess (AAAI, 2025)

Towards Computational Foreseeability. - Sarit Kraus; Kayla Boggess; Robert Kim; Bryan H. Choi; Lu Feng 001 (AAAI, 2025)

Evaluating Human Trust in LLM-Based Planners: A Preliminary Study. - Shenghui Chen; Yunhao Yang; Kayla Boggess; Seongkook Heo; Lu Feng 001; Ufuk Topcu (CoRR, 2025)