Fabio Muratore
Fabio Muratore
Bosch Center for Artificial Intelligence
Verified email at - Homepage
Cited by
Cited by
Data-efficient Domain Randomization with Bayesian Optimization
F Muratore, C Eilers, M Gienger, J Peters
IEEE Robotics and Automation Letters, 2021
Robot learning from randomized simulations: A review
F Muratore, F Ramos, G Turk, W Yu, M Gienger, J Peters
Frontiers in Robotics and AI 9, 799893, 2022
Assessing Transferability from Simulation to Reality for Reinforcement Learning
F Muratore, M Gienger, J Peters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Domain randomization for simulation-based policy optimization with transferability assessment
F Muratore, F Treede, M Gienger, J Peters
Conference on Robot Learning, 700-713, 2018
Neural posterior domain randomization
F Muratore, T Gruner, F Wiese, B Belousov, M Gienger, J Peters
Conference on Robot Learning, 1532-1542, 2022
Simurlacra-a framework for reinforcement learning from randomized simulations
F Muratore
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
J Carvalho, D Tateo, F Muratore, J Peters
International Joint Conference on Neural Networks (IJCNN), 2021
Underactuated Waypoint Trajectory Optimization for Light Painting Photography
C Eilers, J Eschmann, R Menzenbach, B Belousov, F Muratore, J Peters
IEEE International Conference on Robotics and Automation, 1505-1510, 2020
Distilled domain randomization
J Brosseit, B Hahner, F Muratore, M Gienger, J Peters
arXiv preprint arXiv:2112.03149, 2021
Randomizing Physics Simulations for Robot Learning
F Muratore
Technische Universität Darmstadt, 2021
An Approach for Modelling the Structural Dynamics of a Mechanical System based on a Takagi-Sugeno Representation
SJ Pieczona, F Muratore, MF Zaeh
Conference on Competitive Manufacturing, 391-398, 2016
Pseudo-Likelihood Inference
T Gruner, B Belousov, F Muratore, D Palenicek, JR Peters
Advances in Neural Information Processing Systems 36, 2024
Assessing Transferability in Reinforcement Learning from Randomized Simulations
F Muratore, M Gienger, J Peters
Reinforcement Learning and Decision Making (RLDM), 2019
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