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Tom Bewley
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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
62021
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments
T Bewley, J Lawry
AAAI Conference on Artificial Intelligence, 2021
62021
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
52019
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
22019
Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions
T Bewley, F Lecue
arXiv preprint arXiv:2112.11230, 2021
12021
Am I Building a White Box Agent or Interpreting a Black Box Agent?
T Bewley
arXiv preprint arXiv:2007.01187, 2020
12020
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning
J Early, T Bewley, C Evers, S Ramchurn
arXiv preprint arXiv:2205.15367, 2022
2022
Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction
T Bewley, J Lawry, A Richards
arXiv preprint arXiv:2201.07749, 2022
2022
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