MPC-Inspired Neural Network Policies for Sequential Decision Making. - Marcus Pereira; David D. Fan; Gabriel Nakajima An; Evangelos A. Theodorou (CoRR, 2018)

Deep Forward-Backward SDEs for Min-max Control. - Ziyi Wang 001; Keuntaek Lee; Marcus A. Pereira; Ioannis Exarchos; Evangelos A. Theodorou (CDC, 2019)

Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems. - Ethan N. Evans; Marcus A. Pereira; George I. Boutselis; Evangelos A. Theodorou (CoRL, 2019)

Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs. - Ziyi Wang 001; Marcus Pereira; Evangelos A. Theodorou (Robotics: Science and Systems, 2019)

Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma. - Marcus Pereira; Ziyi Wang 001; Ioannis Exarchos; Evangelos A. Theodorou (CoRR, 2019)

Deep 2FBSDEs for Systems with Control Multiplicative Noise. - Ziyi Wang 001; Marcus A. Pereira; Evangelos A. Theodorou (CoRR, 2019)

Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs. - Marcus Pereira; Ziyi Wang 001; Ioannis Exarchos; Evangelos A. Theodorou (CoRL, 2020)

Sampling-Based Nonlinear Stochastic Optimal Control for Neuromechanical Systems. - Emily A. Reed; Marcus A. Pereira; Francisco J. Valero Cuevas; Evangelos A. Theodorou (EMBC, 2020)

Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory. - Marcus Pereira; Ziyi Wang 001; Tianrong Chen; Emily A. Reed; Evangelos A. Theodorou (L4DC, 2020)

Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control. - Ioannis Exarchos; Marcus A. Pereira; Ziyi Wang 001; Evangelos A. Theodorou (CoRR, 2020)

NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control. - Ioannis Exarchos; Marcus Aloysius Pereira; Ziyi Wang 001; Evangelos A. Theodorou (ICLR, 2021)

Deep L1 Stochastic Optimal Control Policies for Planetary Soft-landing. - Marcus A. Pereira; Camilo A. Duarte; Ioannis Exarchos; Evangelos A. Theodorou (CoRR, 2021)

Leveraging Stochasticity for Open Loop and Model Predictive Control of Spatio-Temporal Systems. - George I. Boutselis; Ethan N. Evans; Marcus A. Pereira; Evangelos A. Theodorou (Entropy, 2021)

Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM. - Marcus A. Pereira; Augustinos D. Saravanos; Oswin So; Evangelos A. Theodorou (Robotics: Science and Systems, 2022)

Solving Inverse Problems via Diffusion Optimal Control. - Henry Li; Marcus Pereira (NeurIPS, 2024)

Scalable and Safe Deep Learning Architectures for Stochastic Optimal Control Using Forward-Backward Stochastic Differential Equations. - Marcus Aloysius Pereira (2024)