Abstract

In this paper we propose a computational model for learning from demonstration. By adequate adjustment of a few parameters, our model is able to produce di erent learning behaviours, taking into account di erent elements of the demonstration. In particular, our model takes into consideration the actions of the demonstrator, its effects on the environment/surroundings, the demonstrator's inferred goals, and the interests and preferences of the learner itself. We present results where we show that our model can reproduce (in simulation) several well-known results from standard experimental paradigms in developmental psychology and also an application to a real robotic imitation learning task.

Citations