ML Anthology

Boyle, David

3 publications

ICML 2025 Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning Anna Soligo, Pietro Ferraro, David Boyle
ICML 2024 Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang, Qiuchen Qian, David Boyle
CoRL 2022 QuaDUE-CCM: Interpretable Distributional Reinforcement Learning Using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking Yanran Wang, James O’Keeffe, Qiuchen Qian, David Boyle