论文标题
模仿学习的过去和现在：引文链研究
The Past and Present of Imitation Learning: A Citation Chain Study
论文作者
论文摘要
模仿学习是积极研究的有前途的领域。在过去的30年中，模仿学习已经大大提高，并用于解决从自动驾驶到玩Atari游戏等艰巨的任务。在这一发展过程中，进行模仿学习的不同方法已经进入和失利。在本文中，我探讨了这些不同方法的发展，并试图研究该领域的进展。我将分析重点放在测量4个具有依次建立在彼此的地标论文中，以开发出越来越令人印象深刻的模仿学习方法。
Imitation Learning is a promising area of active research. Over the last 30 years, Imitation Learning has advanced significantly and been used to solve difficult tasks ranging from Autonomous Driving to playing Atari games. In the course of this development, different methods for performing Imitation Learning have fallen into and out of favor. In this paper, I explore the development of these different methods and attempt to examine how the field has progressed. I focus my analysis on surveying 4 landmark papers that sequentially build upon each other to develop increasingly impressive Imitation Learning methods.
