Robotics deals with use of robots where learning approaches are generally focused on discrete, e.g. single-task, learning events. However, in many applications robots need to be able to react to unexpected events and then update their models/policies to include the just encountered data points. Nowadays, Reinforcement Learning techniques are starting to provide robots and agents with such capabilities.