Recent deep reinforcement learning (DRL) successes rely on end-to-end
le...
Affordances are the possibilities of actions the environment offers to t...
We introduce SCOD (Sensory Commutativity Object Detection), an active me...
We study perception in the scenario of an embodied agent equipped with
f...
Despite its omnipresence in robotics application, the nature of spatial
...
Finding a generally accepted formal definition of a disentangled
represe...
We consider the problem of building a state representation model for con...
Unsupervised learning of compact and relevant state representations has ...
Which generative model is the most suitable for Continual Learning? This...
We consider the problem of building a state representation model in a
co...
Sensorimotor contingency theory offers a promising account of the nature...
We propose Flatland, a simple, lightweight environment for fast prototyp...
Robots act in their environment through sequences of continuous motor
co...
In order to explore and act autonomously in an environment, an agent nee...