模仿学习的过去与现在：一个引文链研究
The Past and Present of Imitation Learning: A Citation Chain Study
摘要：
模仿学习是一个很有前途的研究领域。在过去的30年里，模仿学习取得了显著的进步，并被用于解决从自动驾驶到玩Atari游戏等各种困难的任务。在这一发展过程中，不同的方法来执行模仿学习已经落入和失宠。在本文中，我将探讨这些不同方法的发展，并试图研究该领域的进展。我的分析集中在调查4个里程碑式的论文，顺序建立在对方发展越来越令人印象深刻的模仿学习方法。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
