University of Bristol, United Kingdom
Incomingā¦
Incomingā¦
Bewley, Tom. "Use of Machine Vision and Intelligent Data Processing Algorithms to Monitor and Predict Crop Growth in Vertical Farms." BEng Thesis, University of Bristol, 2018. [PDF]
Bewley, Tom, and Liarokapis, Minas. "On the Combination of Gamification and Crowd Computation in Industrial Automation and Robotics Applications." 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019. [PDF]
Bewley, Tom. "On Tour: Harnessing Social Tourism Data for City and Point-of-Interest Recommendation." MSc Thesis, University of Bristol, 2019. [PDF]
Bewley, Tom, and Carrascosa, Ivan Palomares. "On Tour: Harnessing Social Tourism Data for City and Point of Interest Recommendation." 1st International āAlan Turingā Conference on Decision Support and Recommender Systems (DSRS-Turing 2019). 2019. [PDF]
Bewley, Tom. "Am I Building a White Box Agent or Interpreting a Black Box Agent?" arXiv preprint 2007.01187. 2020. [PDF]
Bewley T., Lawry J., Richards A. (2021) Modelling Agent Policies with Interpretable Imitation Learning. In: Heintz F., Milano M., O'Sullivan B. (eds) Trustworthy AI - Integrating Learning, Optimization and Reasoning. TAILOR 2020. Lecture Notes in Computer Science, vol 12641. Springer, Cham. [PDF]
Bewley, Tom and Lawry, Jonathan. "TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments" 35th AAAI Conference on Artificial Intelligence (AAAI 2021). 2021. [PDF]
Bewley, Tom and Lecue, Freddy. "Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions" Proc. of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022). 2022. [PDF]
Early, Joseph, Tom Bewley, Christine Evers, and Sarvapali Ramchurn. "Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning" Proc. of the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). 2022. [PDF]
Bewley, Tom and Lawry, Jonathan and Richards, Arthur. "Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction" XAI-IJCAI22 Workshop. 2022. [PDF]
Bewley, Tom, Jonathan Lawry, Arthur Richards, Rachel Craddock, and Ian Henderson. "Reward Learning with Trees: Methods and Evaluation" arXiv preprint 2210.01007. 2022. [PDF]
Bewley, Tom, Jonathan Lawry, and Arthur Richards. "Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback" AIAA SciTech Forum. 2023. [PDF]
Jeen, Scott and Tom Bewley and Jonathan M. Cullen. "Conversative World Models" Seventh Workshop on Generalization in Planning. 2023. [PDF]
Bewley, Tom. "Tree Models for Interpretable Agents." PhD Thesis, University of Bristol, 2024. [PDF]
Bewley, Tom, Salim I. Amoukou, Saumitra Mishra, Daniele Magazzeni, and Manuela Veloso. "Counterfactual Metarules for Local and Global Recourse" International Conference on Machine Learning (ICML). 2024. [PDF]
Talk at The Watershed, Bristol, UK
Talk at The Alan Turing Institute, London, UK
Talk at University of Bristol, Bristol, UK
Talk at TAILOR Worskhop at ECAI 2020, Santiago de Compostela, Spain
Talk at University of Bristol, Bristol, UK
Incomingā¦