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

Autor:	Barros, Pablo, Bloem, Anne C., Hootsmans, Inge M., Opheij, Lena M., Toebosch, Romain H. A., Barakova, Emilia, Sciutti, Alessandra
Rok vydání:	2020
Předmět:	Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	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 IROS2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2003.05861 Zobrazit plný text záznamu View this record from Arxiv