← Search

Jonathan Lawry

2 accepted papers

2021

TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments

AAAI 2021technical

In explainable artificial intelligence, there is increasing interest in understanding the behaviour of autonomous agents to build trust and validate performance. Modern agent architectures, such as those trained by deep reinforcement learning, are currently so lacking in interpretable structure as t…

2017

Robust distributed decision-making in robot swarms: Exploiting a third truth state

IROS 2017poster

In this paper, we investigate the best-of-n distributed decision problem in robot swarms. In this context, we compare the weighted voter model [25] with a three-valued model that incorporates an intermediate belief state meaning either `uncertain' or `indifferent'. We focus particularly on the trade…

Cited by 30SourceScholar