@inproceedings{3bbbd3e7ee954a7495d369bc3e008592,
title = "Autonomous Agents for The Single Track Road Problem",
abstract = "We present the single track road problem. In this problem two agents face each-other at opposite positions of a road that can only have one agent pass at a time. We focus on the scenario in which one agent is human, while the other is an autonomous agent. We run experiments with human subjects in a simple grid domain, which simulates the single track road problem. We show that when data is limited, building an accurate human model is very challenging, and that a reinforcement learning agent, which is based on this data, does not perform well in practice.",
keywords = "Autonomous vehicles, Human agent, Human modeling, Reinforcement Learning, interaction",
author = "Ido Shapira and Amos Azaria",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 33rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2021 ; Conference date: 01-11-2021 Through 03-11-2021",
year = "2021",
doi = "10.1109/ICTAI52525.2021.00019",
language = "الإنجليزيّة",
series = "Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI",
publisher = "IEEE Computer Society",
pages = "81--85",
booktitle = "Proceedings - 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence, ICTAI 2021",
address = "الولايات المتّحدة",
}