The Past and Present of Imitation Learning: A Citation Chain Study

01/08/2020
by   Nishanth Kumar, et al.
0

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.

READ FULL TEXT

page 2

page 3

research
11/21/2019

State Alignment-based Imitation Learning

Consider an imitation learning problem that the imitator and the expert ...
research
06/23/2021

Imitation Learning: Progress, Taxonomies and Opportunities

Imitation learning aims to extract knowledge from human experts' demonst...
research
11/25/2020

Experiments in Autonomous Driving Through Imitation Learning

This report demonstrates several methods used to make a self-driving veh...
research
07/18/2016

Imitation Learning with Recurrent Neural Networks

We present a novel view that unifies two frameworks that aim to solve se...
research
05/23/2023

iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning

Autonomous parking (AP) is an emering technique to navigate an intellige...
research
03/03/2023

How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement

Imitation learning aims to mimic the behavior of experts without explici...
research
09/22/2021

Imitation Learning of Stabilizing Policies for Nonlinear Systems

There has been a recent interest in imitation learning methods that are ...

Please sign up or login with your details

Forgot password? Click here to reset