Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract). - Ludovico Mitchener; David Tuckey; Matthew Crosby; Alessandra Russo (IJCAI, 2022)

Learning to Rank the Distinctiveness of Behaviour in Serial Offending. - Mark Law; Théophile Sautory; Ludovico Mitchener; Kari Davies; Matthew Tonkin; Jessica Woodhams; Dalal Alrajeh (LPNMR, 2022)

Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework. - Ludovico Mitchener; David Tuckey; Matthew Crosby; Alessandra Russo (Mach. Learn., 2022)

BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology. - Ludovico Mitchener; Jon M. Laurent; Benjamin Tenmann; Siddharth Narayanan; Geemi P. Wellawatte; Andrew D. White; Lorenzo Sani; Samuel G. Rodriques (CoRR, 2025)

Robin: A multi-agent system for automating scientific discovery. - Ali Essa Ghareeb; Benjamin Chang 008; Ludovico Mitchener; Angela Yiu; Caralyn J. Szostkiewicz; Jon M. Laurent; Muhammed T. Razzak; Andrew D. White; Michaela M. Hinks; Samuel G. Rodriques (CoRR, 2025)

Training a Scientific Reasoning Model for Chemistry. - Siddharth Narayanan; James D. Braza; Ryan-Rhys Griffiths; Albert Bou; Geemi P. Wellawatte; Mayk Caldas Ramos; Ludovico Mitchener; Samuel G. Rodriques; Andrew D. White (CoRR, 2025)