Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Anna Saranti,  Alessa Angerschmid, Mohammad Afshari, Tianpei Yang, Matthew E. Taylor, and Andreas Holzinger. Human-in-the-loop reinforcement learning: A survey of requirements, challenges, and opportunities. In Journal of Artificial Intelligence Research (JAIR), volume 79, pages 359–415, 2024.

Tianpei Yang, Srijita Das, Christabel Wayllace,  and Matthew E. Taylor. Work in Progress: Using Symbolic Planning with Deep RL to Improve Learning. In NeurIPS 2023 Workshop on Generalization  in Planning (GenPlan), 2023.

Calarina Muslimani, Saba Gul, Carrie Demmans Epp, Matthew E. Taylor, and Christabel Wayllace. C^2Tutor: Helping People Learn to Avoid Present Bias During Decision Making. In Proceedings of the International Conference on Artificial Intelligence in Education (AIED), pages 733 - 738, 2023.

Guevarra Michael, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor, and Alan Tay. Augmenting Flight Training with AI to Efficiently Train Pilots. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) Demonstration Track. 2023.

Christabel Wayllace and William Yeoh. Stochastic Goal Recognition Design Problems with Suboptimal Agents. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pages 9953 - 9961, 2022.

Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, and Shlomo Zilberstein. Accounting for Observer’s Partial Observability in Stochastic Goal Recognition Design. In the European Conference on Artificial Intelligence (ECAI), pages 2394 – 2401, 2020.

Christabel Wayllace, Sunwoo Ha, Yuchen Han, Jiaming Hu, Shayan Monadjemi, William Yeoh, and Alvitta Ottley. DRAGON-V: Detection and Recognition of Airplane Goals with Navigational Visualization. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) Demonstration Track, pages 13642 - 13643, 2020. Video

Khoi D. Hoang, Christabel Wayllace, William Yeoh, Jacob Beal, Soura Dasgupta, Yuanqiu Mo, Aaron Paulos and Jon Schewe. New Distributed Constraint Reasoning Algorithms for Load Balancing in Edge Computing. In Proceedings of the International Conference on Principles and Practice of Multi-Agent Systems (PRIMA), pages 69 - 86, 2019

Khoi Hoang, Christabel Wayllace, and William Yeoh. Distributed Constraint Satisfaction Algorithms for Load Balancing in Edge Computing: A Feasibility Study. 10th International Workshop on Optimization in Multiagent Systems (OptMAS). 2019.

Christabel Wayllace Sarah Keren, William Yeoh, Avigdor Gal, and Erez Karpas. Accounting for Partial Observability in Stochastic Goal Recognition Design: Messing with the Marauder’s Map. In the ICAPS Workshop on Heuristic Search in Domain-independent Planning (HSDIP), pages 33 - 41, 2018.

Christabel Wayllace, Ping Hou, and William Yeoh. New Metrics and Algorithms for Stochastic Goal Recognition Design Problems. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 4455 - 4462, 2017.

Christabel Wayllace, Ping Hou, William Yeoh, and Tran Cao Son. Goal Recognition Design with Stochastic Agent Action Outcomes. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 3279 - 3285, 2016.