Marcus Pereira
According to our database1,
Marcus Pereira
authored at least 15 papers
between 2018 and 2024.
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Bibliography
2024
Scalable and Safe Deep Learning Architectures for Stochastic Optimal Control Using Forward-Backward Stochastic Differential Equations.
PhD thesis, 2024
2022
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
2021
Leveraging Stochasticity for Open Loop and Model Predictive Control of Spatio-Temporal Systems.
Entropy, 2021
CoRR, 2021
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control.
CoRR, 2020
Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs.
Proceedings of the 4th Conference on Robot Learning, 2020
2019
Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma.
CoRR, 2019
Proceedings of the Robotics: Science and Systems XV, 2019
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018