Thesis
Learning from Interactions: Forward and Inverse Decision-Making for Autonomous Dynamical Systems
Ph.D. thesis, 2023
Forward and Inverse Decision-Making in Adversarial, Cooperative, and Biologically-Inspired Dynamical Systems
Licentiate thesis, 2021
Temporal Perspectives: Exploring Robot's Perception of Time
Master thesis, 2018
Adversarial systems
Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection
Journal of Systems Science and Complexity (JSSC), 2021
How to protect your privacy? A framework for counter-adversarial decision making
59th IEEE Conference on Decision and Control (CDC), 2020
What did your adversary believe? Optimal filtering and smoothing in counter-adversarial autonomous systems
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Estimating private beliefs of Bayesian agents based on observed decisions
IEEE Control Systems Letters (LCSS), 2019
Cooperative systems
Optimal Transport for Correctional Learning
62nd IEEE Conference on Decision and Control (CDC), 2023
A teacher-student framework for online correctional learning
61th IEEE Conference on Decision and Control (CDC), 2022
Cooperative System Identification via Correctional Learning
19th IFAC Symposium on System Identification (SYSID), 2021
Biologically-inspired systems
A Biologically-Inspired Computational Model of Time Perception
IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2021
Teaching Robots to Perceive Time: A Twofold Learning Approach *
Joint IEEE 10th International Conference on Development and Learning (ICDL), 2020
* Best Paper and Student Paper Award
Human-robot interaction
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning
62nd IEEE Conference on Decision and Control (CDC), 2023