Kayla Boggess

According to our database, Kayla Boggess authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Explaining Decentralized Multi-Agent Reinforcement Learning Policies.

Kayla Boggess, Sarit Kraus, Lu Feng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Evaluating Human Trust in LLM-Based Planners: A Preliminary Study.

Shenghui Chen, Yunhao Yang, Kayla Boggess, Seongkook Heo, Lu Feng, Ufuk Topcu

CoRR, February, 2025

Towards Computational Foreseeability.

Sarit Kraus, Kayla Boggess, Robert Kim, Bryan H. Choi, Lu Feng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Explanations for Multi-Agent Reinforcement Learning.

Kayla Boggess

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2023

Explainable Multi-Agent Reinforcement Learning for Temporal Queries.

Kayla Boggess, Sarit Kraus, Lu Feng

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Toward Policy Explanations for Multi-Agent Reinforcement Learning.

Kayla Boggess, Sarit Kraus, Lu Feng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Objective Controller Synthesis with Uncertain Human Preferences.

Shenghui Chen, Kayla Boggess, David Parker, Lu Feng

Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

2020

Towards Personalized Explanation of Robotic Planning via User Feedback.

Kayla Boggess, Shenghui Chen, Lu Feng

CoRR, 2020

Towards Transparent Robotic Planning via Contrastive Explanations.

Shenghui Chen, Kayla Boggess, Lu Feng

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020