no code implementations • 26 Sep 2013 • Keyan Zahedi, Georg Martius, Nihat Ay
Previous experiments have shown that the predictive information (PI) is a good candidate to support autonomous, open-ended learning of complex behaviours, because a maximisation of the PI corresponds to an exploration of morphology- and environment-dependent behavioural regularities.
no code implementations • 29 Jan 2013 • Keyan Zahedi, Nihat Ay
We believe that the field would benefit from a formalisation of this concept as we would like to ask how much the morphology and the environment contribute to an embodied agent's behaviour, or how an embodied agent can maximise the exploitation of its morphology within its environment.