On The Combination of Gamification and Crowd Computation in Industrial Automation and Robotics Applications. - Tom Bewley; Minas V. Liarokapis (ICRA, 2019)

Modelling Agent Policies with Interpretable Imitation Learning. - Tom Bewley; Jonathan Lawry; Arthur Richards (TAILOR, 2020)

Am I Building a White Box Agent or Interpreting a Black Box Agent? - Tom Bewley (CoRR, 2020)

TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. - Tom Bewley; Jonathan Lawry (AAAI, 2021)

Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions. - Tom Bewley; Freddy Lécué (AAMAS, 2022)

Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning. - Joseph Early; Tom Bewley; Christine Evers; Sarvapali D. Ramchurn (NeurIPS, 2022)

Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction. - Tom Bewley; Jonathan Lawry; Arthur Richards (CoRR, 2022)

Reward Learning with Trees: Methods and Evaluation. - Tom Bewley; Jonathan Lawry; Arthur Richards; Rachel Craddock; Ian Henderson (CoRR, 2022)

Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback. - Tom Bewley; Jonathan Lawry; Arthur Richards (CoRR, 2023)

Conservative World Models. - Scott R. Jeen; Tom Bewley; Jonathan M. Cullen (CoRR, 2023)

Counterfactual Metarules for Local and Global Recourse. - Tom Bewley; Salim I. Amoukou; Saumitra Mishra; Daniele Magazzeni; Manuela Veloso (ICML, 2024)

Sequential Harmful Shift Detection Without Labels. - Salim I. Amoukou; Tom Bewley; Saumitra Mishra; Freddy Lécué; Daniele Magazzeni; Manuela Veloso (NeurIPS, 2024)

Zero-Shot Reinforcement Learning from Low Quality Data. - Scott R. Jeen; Tom Bewley; Jonathan M. Cullen (NeurIPS, 2024)

Interpreting Language Reward Models via Contrastive Explanations. - Junqi Jiang; Tom Bewley; Saumitra Mishra; Freddy Lécué; Manuela Veloso (ICLR, 2025)

Zero-Shot Reinforcement Learning Under Partial Observability. - Scott R. Jeen; Tom Bewley; Jonathan M. Cullen (CoRR, 2025)

Representation Consistency for Accurate and Coherent LLM Answer Aggregation. - Junqi Jiang; Tom Bewley; Salim I. Amoukou; Francesco Leofante; Antonio Rago 001; Saumitra Mishra; Francesca Toni (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)