Deep Learning for Robot Perception and Cognition

Chapter 17: Deep learning in multiagent systems

Lukas Esterle    Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark

Abstract

Autonomous agents are able to work toward their given goal and interact with their environment and other systems without the immediate help from humans. To accomplish this, they need to understand their environment, their goals, the task at hand as well as other agents in their vicinity. This makes deep learning an essential factor among the capabilities required for autonomous agents. In this chapter, we will dive into the specific characteristics and concomitant challenges of deep learning for autonomous agents and multiagent systems. Specifically in real-world situations, where autonomous ...