Abstract: This paper surveys research on applying neuroevolution (NE) to games. In neuroevolution, artificial neural networks are trained through evolutionary algorithms, taking inspiration from the ...

Abstract: This paper addresses the challenge of learning to play many different video games with little domain-specific knowledge. Specifically, it introduces a neuroevolution approach to general ...

Neuroevolution is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks, parameters, topology and rules. Many of the concepts associated with ...

Neuromorphic computing algorithms based on Spiking Neural Networks (SNNs) are evolving to be a disruptive technology driving machine learning research. The overarching goal of this work is to develop ...

What is this book about? Neuroevolution is a form of artificial intelligence learning that uses evolutionary algorithms to simplify the process of solving complex tasks in domains such as games, ...

In difficult real-world learning tasks such as controlling robots, playing games, or pursuing or evading an enemy, there are no direct targets that would specify correct actions for each situation. In ...

In direct policy search, the space of possible policies is searched directly. The agent does not attempt to model the transition dynamics of the environment, nor does it attempt to explicitly learn ...