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The Chef's Hat Simulation Environment for Reinforcement-Learning-Based Agents

By Pablo Barros, Anne C. Bloem, Inge M. Hootsmans, Lena M. Opheij, Romain H. A. Toebosch, Emilia Barakova and Alessandra Sciutti

Abstract

To achieve social interactions within Human-Robot Interaction (HRI) environments is a very challenging task. Most of the current research focuses on Wizard-of-Oz approaches, which neglect the recent development of intelligent robots. On the other hand, real-world scenarios usually do not provide the necessary control and reproducibility which are needed for learning algorithms. In this paper, we propose a virtual simulation environment that implements the Chef's Hat card game, designed to be used in HRI scenarios, to provide a controllable and reproducible scenario for reinforcement-learning algorithms.Comment: Submitted to IROS202

Topics: Computer Science - Artificial Intelligence
Year: 2020
OAI identifier: oai:arXiv.org:2003.05861

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