We are considering a scenario where a team of bodyguard robots provides physical protection to a VIP in a crowded public space. We use deep reinforcement learning to learn the policy to be followed by the robots. As the robot bodyguards need to follow several difficult-to-reconcile goals, we study several primitive and composite reward functions and their impact on the overall behavior of the robotic bodyguards.
@article{arxiv.1901.09837,
title = {Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning},
author = {Hassam Ullah Sheikh and Ladislau Bölöni},
journal= {arXiv preprint arXiv:1901.09837},
year = {2019}
}
Comments
Accepted at the 1st Workshop on Goal Specifications for Reinforcement Learning at ICML 2018