  Dealing with social tasks in robotic scenarios is difficult, as having humans
in the learning loop is incompatible with most of the state-of-the-art machine
learning algorithms. This is the case when exploring Incremental learning
models, in particular the ones involving reinforcement learning. In this work,
we discuss this problem and possible solutions by analysing a previous study on
adaptive convolutional encoders for a social navigation task.
