Abstract Besides the core learning algorithm itself, one major question in machine learning is how to best encode given training data such that the learning ...
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May 21, 2015 · The goal of this contribution is to give an overview about different principles of autonomous feature learning, and to exemplify two principles ...
We provide an active, incremental algorithm for autonomously learning such representations in unknown environments from experience. ... The results of these ...
The goal of this contribution is to give an overview about different principles of autonomous feature learning, and to exemplify two principles based on two ...
We are interested in autonomous learning, that is how an embodied agent can determine what to learn, how to learn, and how to judge the learning success.
The goal of this contribution is to give an overview about different principles of autonomous feature learning, and to exemplify two principles based on two ...
An emerging field that aims for autonomous reinforcement learning directly on sensor-observations, and two approaches to learn intermediate state ...
In this work, we analyze how our proposed general-purpose learning framework-the developmental network-2 (DN-2)-autonomously generates internal hierarchy with ...
Duration: 55:30
Posted: Apr 8, 2022
Posted: Apr 8, 2022
Sep 18, 2024 · This paper proposes an alternative approach to implementing open-ended learning architectures exploiting low-level and high-level ...