Publications
Conference Publications:
T. A. Kessler Faulkner and A. L. Thomaz, "Using Learning Curve Predictions to Learn from Incorrect Feedback." International Conference on Robotics and Automation. ICRA 2023.
R. Mirsky, K. Baraka, T. A. Kessler Faulkner, J. Hart, X. Xiao, H. Yedidsion, I. Idrees, and E. K. Gordon. (2023, March). 2nd Workshop on Human-Interactive Robot Learning (HIRL). In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (pp. 947-949).
R. Mirsky, K. Baraka, T. A. Kessler Faulkner, J. Hart, H. Yedidsion, and X. Xiao. (2022, March). Human-Interactive Robot Learning (HIRL). In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 1278-1280). IEEE.
T. A. Kessler Faulkner, E. S. Short, and A. L. Thomaz, "Interactive Reinforcement Learning with Inaccurate Feedback." IEEE International Conference on Robotics and Automation . ICRA 2020.
M. L. Chang, T. A. Kessler Faulkner, T. B. Wei, E. S. Short, G. Anandaraman, A. L. Thomaz, "TASC: Teammate Algorithm for Shared Cooperation." IROS 2020.
T. A. Kessler Faulkner, R. A. Gutierrez, E. S. Short, G. Hoffman, and A.L. Thomaz, "Active Attention-Modified Policy Shaping." AAMAS 2019.
T. A. Kessler Faulkner, E. S. Short, and A.L. Thomaz, Policy Shaping with Supervisory Attention Driven Exploration. IROS 2018.
T. A. Kessler Faulkner, S. Niekum, and A. Thomaz, Asking for Help Effectively via Modeling of Human Beliefs. Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 149-150). ACM.
T. A. Kessler Faulkner, W. Brackenbury, and A. Lall, 'K-regret queries with nonlinear utilities', Proceedings of the Very Large Database Endowment, vol. 8, no. 13, pp. 2098-2109, 2015.
Refereed Workshops, Posters, and Abstracts:
E. K. Gordon, T. A. Kessler Faulkner, S. Srinivasa, "Balancing Flexibility and Precision in Assistive Food Manipulation." Presented at the Assistive Manipulation Workshop at the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI). 2023.
T. A. Kessler Faulkner and A. L. Thomaz, ``Interactive Reinforcement Learning from Imperfect Teachers." Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction. 2021.
T. Wei, T. A. Kessler Faulkner, Andrea L. Thomaz, "Policy Shaping in Continuous State Spaces." Presented at Knowledge Based Reinforcement Learning Workshop at the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), January 2021.
T. Wei, T. A. Kessler Faulkner, Andrea L. Thomaz, "Extending Policy Shaping to Continuous State Spaces." Presented at AAAI-21 Student Abstract and Poster Program at the 35th Conference on Artificial Intelligence (AAAI-21), February 2021.
T. A. Kessler Faulkner, E. S. Short, and A. L. Thomaz, "Towards Active Attention-Modified Policy Shaping." Presented at Workshop on Human/Robot In-The-Loop Machine Learning,Intelligent Robots and Systems (IROS), 2018 IEEE/RSJ International Conference on. October 2018.
T. A. Kessler Faulkner, S. Niekum, and A. Thomaz, "Robot Dialog Optimization via Optimization of Human Belief Updates", Presented at Workshop on Robot Communication in the Wild, Robotics: Science and Systems (RSS). July 2017.
T. A. Kessler Faulkner, S. Niekum, and A. Thomaz, “Robot Dialog Optimization via Modeling of Human Belief Updates.” Presented at CRA-W Conferences, April 2017.