论文标题
厨师的帽子模拟环境，用于加强学习的代理商
The Chef's Hat Simulation Environment for Reinforcement-Learning-Based Agents
论文作者
论文摘要
在人机互动（HRI）环境中实现社交互动是一项非常具有挑战性的任务。当前的大多数研究都集中在《巫师》的方法上，这些方法忽略了智能机器人的最新发展。另一方面，实际情况通常无法提供学习算法所需的必要控制和可重复性。在本文中，我们提出了一个虚拟仿真环境，该环境实现了厨师的帽子卡游戏，该游戏旨在用于HRI场景，以提供可控且可重复的方案，用于加强学习算法。
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.
