Matt joined the ORI as a postdoctoral researcher in 2025, working on AI for robot decision-making in the GOALS group.
During his PhD, also as a member of the GOALS group, he developed decision-making and metalevel reasoning techniques for autonomous agents operating in poorly understood environments under resource constraints.
He received an MEng (Master of Engineering Science) degree from the University of Oxford in 2020.
Most Recent Publications
Planning under uncertainty for safe robot exploration using Gaussian process prediction
Planning under uncertainty for safe robot exploration using Gaussian process prediction
Probabilistic planning for AUV data harvesting from smart underwater sensor networks
Probabilistic planning for AUV data harvesting from smart underwater sensor networks
Bayesian reinforcement learning for single-episode missions in partially unknown environments
Bayesian reinforcement learning for single-episode missions in partially unknown environments
Markov decision processes with unknown state feature values for safe exploration using Gaussian processes
Markov decision processes with unknown state feature values for safe exploration using Gaussian processes
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles
