论文标题
教我您想玩什么：通过人类机器人互动学习连接四的变体
Teach Me What You Want to Play: Learning Variants of Connect Four through Human-Robot Interaction
论文作者
论文摘要
本文调查了使用游戏理论表示代表和学习如何玩互动游戏（例如Connect FOR）的使用。我们通过演示，积极学习和游戏理论结合学习的各个方面，使机器人能够利用其对游戏的发展代表来与一个人进行问题/回答会议，从而填补其知识的空白。本文展示了一种教机器人的方法，游戏的胜利条件使用单个演示和一些试验示例，其中包括机器人领导的问答环节。我们的结果表明，机器人可以在几乎没有知识的胜利条件下学习游戏的任意胜利条件，然后利用博学的胜利条件与人类玩游戏。我们的实验还表明，有些问题对于学习游戏的胜利条件更为重要。我们认为，这种方法可以广泛应用于各种交互式学习方案。
This paper investigates the use of game theoretic representations to represent and learn how to play interactive games such as Connect Four. We combine aspects of learning by demonstration, active learning, and game theory allowing a robot to leverage its developing representation of the game to conduct question/answer sessions with a person, thus filling in gaps in its knowledge. The paper demonstrates a method for teaching a robot the win conditions of the game Connect Four and its variants using a single demonstration and a few trial examples with a question and answer session led by the robot. Our results show that the robot can learn arbitrary win conditions for the game with little prior knowledge of the win conditions and then play the game with a human utilizing the learned win conditions. Our experiments also show that some questions are more important for learning the game's win conditions. We believe that this method could be broadly applied to a variety of interactive learning scenarios.
