| TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments T Bewley, J Lawry 🔍🤖 AAAI Conference on Artificial Intelligence, 2021 | 25 | 2021 |
| Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions T Bewley, F Lecue 🔍🤖🏅 International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021 | 20 | 2021 |
| Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning J Early, T Bewley, C Evers, S Ramchurn 🔍🤖🏅 Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022 | 15 | 2022 |
| Modelling Agent Policies with Interpretable Imitation Learning T Bewley, J Lawry, A Richards 🔍 Trustworthy AI - Integrating Learning, Optimization and Reasoning, 180-186, 2021 | 11 | 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 | 7 | 2019 |
| Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback T Bewley, J Lawry, A Richards 🔍🤖🏅 AIAA SciTech Forum, 2023 | 4 | 2023 |
| Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction T Bewley, J Lawry, A Richards 🔍🤖 IJCAI Workshop on Explainable Artificial Intelligence (XAI), 2022 | 4 | 2022 |
| Am I Building a White Box Agent or Interpreting a Black Box Agent? T Bewley 🔍 arXiv preprint arXiv:2007.01187, 2020 | 2 | 2020 |
| 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 | 2 | 2019 |
| Reward Learning with Trees: Methods and Evaluation T Bewley, J Lawry, A Richards, R Craddock, I Henderson 🔍🤖🏅 arXiv preprint arXiv:2210.01007, 2022 | 1 | 2022 |
| Counterfactual Metarules for Local and Global Recourse T Bewley, SI Amoukou, S Mishra, D Magazzeni, M Veloso 🔍 International Conference on Machine Learning (ICML), 2024 | | 2024 |
| Conservative World Models S Jeen, T Bewley, JM Cullen 🤖 arXiv preprint arXiv:2309.15178, 2023 | | 2023 |
| Tree Models for Interpretable Agents T Bewley University of Bristol, 2023 | | 2023 |
Jonathan LawryProfessor of Artificial Intelligence, University of Bristol在 bris.ac.uk 的电子邮件经过验证
