[robotics-worldwide] [journals] Foundations and Trends in Robotics: New Issue

Tanya Capawana tanya.capawana at nowpublishers.com
Thu Apr 5 11:30:47 PDT 2018

I am pleased to announce the publication of another issue of Foundations and Trends in Robotics:

An Algorithmic Perspective on Imitation Learning
By: Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel and Jan Peters

An Algorithmic Perspective on Imitation Learning provides the reader with an introduction to imitation learning. It covers the underlying assumptions, approaches, and how they relate; the rich set of algorithms developed to tackle the problem; and advice on effective tools and implementation.

An Algorithmic Perspective on Imitation Learning serves two audiences. First, it familiarizes machine learning experts with the challenges of imitation learning, particularly those arising in robotics, and the interesting theoretical and practical distinctions between it and more familiar frameworks like statistical supervised learning theory and reinforcement learning. Second, it provides roboticists and experts in applied artificial intelligence with a broader appreciation for the frameworks and tools available for imitation learning. It pays particular attention to the intimate connection between imitation learning approaches and those of structured prediction.

1. Introduction
2. Design of Imitation Learning Algorithms
3. Behavioral Cloning
4. Inverse Reinforcement Learning
5. Challenges in Imitation Learning for Robotics

View all FnT ROB issues here:

Tanya Capawana

now -- the essence of knowledge

P.O. Box 1024

Hanover, MA 02339 USA

t: +1-781-871-0245

f: +1-781-871-6172

em:  tanya.capawana at nowpublishers.com<mailto:tanya.capawana at nowpublishers.com>


More information about the robotics-worldwide mailing list