Interactive imitation learning in robotics: A survey
Interactive Imitation Learning in Robotics: A Survey Page 1 Interactive Imitation Learning in
Robotics: A Survey Page 2 Other titles in Foundations and Trends® in Robotics A Survey on …
Robotics: A Survey Page 2 Other titles in Foundations and Trends® in Robotics A Survey on …
Strategic dialogue management via deep reinforcement learning
Artificially intelligent agents equipped with strategic skills that can negotiate during their
interactions with other natural or artificial agents are still underdeveloped. This paper …
interactions with other natural or artificial agents are still underdeveloped. This paper …
An interactive framework for learning continuous actions policies based on corrective feedback
C Celemin, J Ruiz-del-Solar - Journal of Intelligent & Robotic Systems, 2019 - Springer
The main goal of this article is to present COACH (COrrective Advice Communicated by
Humans), a new learning framework that allows non-expert humans to advise an agent …
Humans), a new learning framework that allows non-expert humans to advise an agent …
A taxonomy in robot-assisted training: current trends, needs and challenges
K Tsiakas, V Karkaletsis, F Makedon - Proceedings of the 11th …, 2018 - dl.acm.org
In this paper, we present a taxonomy in Robot-Assisted Training; a growing body of research
in Human-Robot Interaction which focuses on how robotic agents and devices can be used …
in Human-Robot Interaction which focuses on how robotic agents and devices can be used …
Adaptive robot assisted therapy using interactive reinforcement learning
K Tsiakas, M Dagioglou, V Karkaletsis… - Social Robotics: 8th …, 2016 - Springer
In this paper, we present an interactive learning and adaptation framework that facilitates the
adaptation of an interactive agent to a new user. We argue that Interactive Reinforcement …
adaptation of an interactive agent to a new user. We argue that Interactive Reinforcement …
[PDF][PDF] Robot learning from verbal interaction: a brief survey
H Cuayáhuitl - Proceedings of the New Frontiers in Human-Robot …, 2015 - mahasalem.net
This survey paper highlights some advances and challenges in robots that learn to carry out
tasks from verbal interaction with humans, possibly combined with physical manipulation of …
tasks from verbal interaction with humans, possibly combined with physical manipulation of …
Interactive teaching and experience extraction for learning about objects and robot activities
Intelligent service robots should be able to improve their knowledge from accumulated
experiences through continuous interaction with the environment, and in particular with …
experiences through continuous interaction with the environment, and in particular with …
Nonstrict hierarchical reinforcement learning for interactive systems and robots
H Cuayáhuitl, I Kruijff-Korbayová… - ACM Transactions on …, 2014 - dl.acm.org
Conversational systems and robots that use reinforcement learning for policy optimization in
large domains often face the problem of limited scalability. This problem has been …
large domains often face the problem of limited scalability. This problem has been …
On the propagation of faults and their detection in a hardware implementation of the advanced encryption standard
Strategic conversational agents often need to trade resources with their opponent
conversants--and trading strategically can lead to better results. While rule-based or …
conversants--and trading strategically can lead to better results. While rule-based or …
Structured learning for spoken language understanding in human-robot interaction
Robots are slowly becoming a part of everyday life, being marketed for commercial
applications such as telepresence, cleaning or entertainment. Thus, the ability to interact via …
applications such as telepresence, cleaning or entertainment. Thus, the ability to interact via …