Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment. - Fabio Muratore; Felix Treede; Michael Gienger; Jan Peters 001 (CoRL, 2018)

Underactuated Waypoint Trajectory Optimization for Light Painting Photography. - Christian Eilers; Jonas Eschmann; Robin Menzenbach; Boris Belousov; Fabio Muratore; Jan Peters 001 (ICRA, 2020)

Bayesian Domain Randomization for Sim-to-Real Transfer. - Fabio Muratore; Christian Eilers; Michael Gienger; Jan Peters 001 (CoRR, 2020)

Neural Posterior Domain Randomization. - Fabio Muratore; Theo Gruner; Florian Wiese; Boris Belousov; Michael Gienger; Jan Peters 001 (CoRL, 2021)

An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. - João Carvalho; Davide Tateo; Fabio Muratore; Jan Peters 001 (IJCNN, 2021)

Distilled Domain Randomization. - Julien Brosseit; Benedikt Hahner; Fabio Muratore; Michael Gienger; Jan Peters 001 (CoRR, 2021)

Assessing Transferability From Simulation to Reality for Reinforcement Learning. - Fabio Muratore; Michael Gienger; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Data-Efficient Domain Randomization With Bayesian Optimization. - Fabio Muratore; Christian Eilers; Michael Gienger; Jan Peters 001 (IEEE Robotics Autom. Lett., 2021)

Robot Learning From Randomized Simulations: A Review. - Fabio Muratore; Fabio Ramos 001; Greg Turk; Wenhao Yu 003; Michael Gienger; Jan Peters 001 (Frontiers Robotics AI, 2022)

Pseudo-Likelihood Inference. - Theo Gruner; Boris Belousov; Fabio Muratore; Daniel Palenicek; Jan R. Peters (NeurIPS, 2023)

sbi reloaded: a toolkit for simulation-based inference workflows. - Jan Boelts; Michael Deistler; Manuel Glöckler; Álvaro Tejero-Cantero; Jan-Matthis Lueckmann; Guy Moss 001; Peter Steinbach; Thomas Moreau 001; Fabio Muratore; Julia Linhart; Conor Durkan; Julius Vetter; et al. (J. Open Source Softw., 2025)

Novel Pivoted Cholesky Decompositions for Efficient Gaussian Process Inference. - Filip de Roos; Fabio Muratore (CoRR, 2025)