João Messias — accepted AI-conference papers

2019

Learning From Demonstration in the Wild

Feryal Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu +5

ICRA 2019poster

Learning from demonstration (LfD) is useful in settings where hand-coding behaviour or a reward function is impractical. It has succeeded in a wide range of problems but typically relies on manually generated demonstrations or specially deployed sensors and has not generally been able to leverage th…

Cited by 80 Source ↗Scholar ↗

2017

Acquiring social interaction behaviours for telepresence robots via deep learning from demonstration

Kyriacos Shiarlis, João Messias, Shimon Whiteson

IROS 2017poster

As robots begin to inhabit public and social spaces, it is increasingly important to ensure that they behave in a socially appropriate way. However, manually coding social behaviours is prohibitively difficult since social norms are hard to quantify. Therefore, learning from demonstration (LfD), whe…

Cited by 12 Source ↗Scholar ↗