Peter Valletta

Imitation Learning with Inconsistent Demonstrations through Uncertainty-based Data Manipulation

Aleatoric uncertainty estimation, based on the observed training data, is applied for the detection of conflicts in a demonstration data set. The particular focus of this paper is the resolution of conflicting data resulting from scenarios with equivalent action choices, such as obstacle avoidance,…