2017
Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models
CoRL 2017
The problem of acquiring multiple tasks from demonstration is typically divided in two sequential processes: (1) the segmentation or identification of different subgoals/subtasks and (2) a separate learning process that parameterizes a control policy for each subtask. As a result, segmentation crite