Using Causal Analysis to Learn Specifications from Task Demonstrations. - Daniel Angelov; Yordan Hristov; Subramanian Ramamoorthy (AAMAS, 2019)

Disentangled Relational Representations for Explaining and Learning from Demonstration. - Yordan Hristov; Daniel Angelov; Michael Burke; Alex Lascarides; Subramanian Ramamoorthy (CoRL, 2019)

DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL. - Daniel Angelov; Yordan Hristov; Subramanian Ramamoorthy (CoRR, 2019)

Vid2Param: Online system identification from video for robotics applications. - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (CoRR, 2019)

From demonstrations to task-space specifications. Using causal analysis to extract rule parameterization from demonstrations. - Daniel Angelov; Yordan Hristov; Subramanian Ramamoorthy (Auton. Agents Multi Agent Syst., 2020)

Learning robotic ultrasound scanning using probabilistic temporal ranking. - Michael Burke; Katie Lu; Daniel Angelov; Arturas Straizys; Craig Innes; Kartic Subr; Subramanian Ramamoorthy (CoRR, 2020)

Composing Diverse Policies for Temporally Extended Tasks. - Daniel Angelov; Yordan Hristov; Michael Burke; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

Vid2Param: Modeling of Dynamics Parameters From Video. - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

Correction to "Vid2Param: Modelling of Dynamics Parameters From Video". - Martin Asenov; Michael Burke; Daniel Angelov; Todor Davchev; Kartic Subr; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

Learning rewards from exploratory demonstrations using probabilistic temporal ranking. - Michael Burke; Katie Lu; Daniel Angelov; Arturas Straizys; Craig Innes; Kartic Subr; Subramanian Ramamoorthy (Auton. Robots, 2023)