Learning models of human-robot interaction from small data. - Ashkan Zehfroosh; Elena Kokkoni; Herbert G. Tanner; Jeffrey Heinz (MED, 2017)

Learning option MDPs from small data. - Ashkan Zehfroosh; Herbert G. Tanner; Jeffrey Heinz (ACC, 2018)

Statistical Relational Learning With Unconventional String Models. - Mai H. Vu; Ashkan Zehfroosh; Kristina Strother-Garcia; Michael Sebok; Jeffrey Heinz; Herbert G. Tanner (Frontiers Robotics AI, 2018)

Reactive motion planning for temporal logic tasks without workspace discretization. - Ashkan Zehfroosh; Herbert G. Tanner (ACC, 2019)

A New Sample-Efficient PAC Reinforcement Learning Algorithm. - Ashkan Zehfroosh; Herbert G. Tanner (MED, 2020)

A Hybrid PAC Reinforcement Learning Algorithm. - Ashkan Zehfroosh; Herbert G. Tanner (CoRR, 2020)

Control Barrier Navigation Functions for STL Motion Planning. - Ashkan Zehfroosh; Herbert G. Tanner (MED, 2022)

A Hybrid PAC Reinforcement Learning Algorithm for Human-Robot Interaction. - Ashkan Zehfroosh; Herbert G. Tanner (Frontiers Robotics AI, 2022)

Non-Smooth Control Barrier Navigation Functions for STL Motion Planning. - Ashkan Zehfroosh; Herbert G. Tanner (Frontiers Robotics AI, 2022)

Resilient Supervisory Multiagent Systems. - Kleio Baxevani; Ashkan Zehfroosh; Herbert G. Tanner (IEEE Trans. Robotics, 2022)

Efficient Re-synthesis of Control Barrier Function via Safe Exploration. - Ashkan Zehfroosh; Zhaodan Kong; Stavros G. Vougioukas (CDC, 2023)

PAC Reinforcement Learning Algorithm for General-Sum Markov Games. - Ashkan Zehfroosh; Herbert G. Tanner (IEEE Trans. Autom. Control., 2023)