Tom Bewley - Google Scholar

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	All	Since 2016
Citations	9	9
h-index	2	2
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202020215 4

Co-authors

Jonathan LawryProfessor of Artificial Intelligence, University of BristolVerified email at bris.ac.uk
Minas LiarokapisNew Dexterity Research Group, University of AucklandVerified email at auckland.ac.nz
Iván Palomares CarrascosaDaSCI Andalusian Research Institute of Data Science and Computational Intelligence. U. GranadaVerified email at ugr.es

Tom Bewley

Tom Bewley

PhD student at University of Bristol

Verified email at bristol.ac.uk - Homepage

Explainable AI Interpretability Reinforcement Learning Autonomous Agents


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Modelling Agent Policies with Interpretable Imitation Learning T Bewley, J Lawry, A Richards Trustworthy AI - Integrating Learning, Optimization and Reasoning, 180-186, 2021	4	2021
On the combination of gamification and crowd computation in industrial automation and robotics applications T Bewley, M Liarokapis 2019 International Conference on Robotics and Automation (ICRA), 1955-1961, 2019	4	2019
On Tour: Harnessing Social Tourism Data for City and Point of Interest Recommendation T Bewley, I Palomares Carrascosa 1st International ‘Alan Turing’ Conference on Decision Support and …, 2019	1	2019
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments T Bewley, J Lawry AAAI Conference on Artificial Intelligence, 2021		2021
Am I Building a White Box Agent or Interpreting a Black Box Agent? T Bewley arXiv preprint arXiv:2007.01187, 2020		2020

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Articles 1–5