The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning

Hassam Ullah Sheikh; Ladislau Bölöni

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arXiv · 1901.09833

The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning

Hassam Ullah Sheikh·Ladislau Bölöni

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Abstract

In this paper we are considering a scenario where a team of robot bodyguards are providing physical protection to a VIP in a crowded public space. We show that the problem involves a complex mesh of interactions between the VIP and the robots, between the robots themselves and the robots and the bystanders respectively. We show how recently proposed multi-agent policy gradient reinforcement learning algorithms such as MADDPG can be successfully adapted to learn collaborative robot behaviors that provide protection to the VIP.

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Hassam Ullah Sheikh, Ladislau Bölöni. 2019-01-28. The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning. https://arxiv.org/abs/1901.09833

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