Research Area:  Machine Learning

Abstract:

Imitation Learning is a sequential task where the learner tries to mimic an experts action in order to achieve the best performance. Several algorithms have been proposed recently for this task. In this project, we aim at proposing a wide review of these algorithms, presenting their main features and comparing them on their performance and their regret bounds.

Keywords:  
Imitation Learning
Machine Learning
Deep Learning

Author(s) Name:  Alexandre Attia, Sharone Dayan

Publisher name:  arXiv:1801.06503

DOI:  10.48550/arXiv.1801.06503

Volume Information:  Volume 2018

Paper Link:   https://arxiv.org/abs/1801.06503