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Disentangled Relational Representations for Explaining and Learning from Demonstration., , , , and . CoRR, (2019)From demonstrations to task-space specifications. Using causal analysis to extract rule parameterization from demonstrations., , and . Auton. Agents Multi Agent Syst., 34 (2): 45 (2020)Correction to "Vid2Param: Modelling of Dynamics Parameters From Video"., , , , , and . IEEE Robotics Autom. Lett., 5 (2): 2872 (2020)Using Causal Analysis to Learn Specifications from Task Demonstrations., , and . AAMAS, page 1341-1349. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Composing Diverse Policies for Temporally Extended Tasks., , , and . IEEE Robotics Autom. Lett., 5 (2): 2658-2665 (2020)Learning rewards from exploratory demonstrations using probabilistic temporal ranking., , , , , , and . Auton. Robots, 47 (6): 733-751 (2023)Vid2Param: Online system identification from video for robotics applications., , , , , and . CoRR, (2019)Composing Diverse Policies for Temporally Extended Tasks., , , and . CoRR, (2019)Learning robotic ultrasound scanning using probabilistic temporal ranking., , , , , , and . CoRR, (2020)Vid2Param: Modeling of Dynamics Parameters From Video., , , , , and . IEEE Robotics Autom. Lett., 5 (2): 414-421 (2020)