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Mouhacine Benosman

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Policy Optimization for PDE Control with a Warm Start

Mar 01, 2024
Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman, Tamer Başar

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Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization

Feb 23, 2024
Xiaoyu Xie, Saviz Mowlavi, Mouhacine Benosman

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Controlgym: Large-Scale Safety-Critical Control Environments for Benchmarking Reinforcement Learning Algorithms

Nov 30, 2023
Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Başar

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Global Convergence of Receding-Horizon Policy Search in Learning Estimator Designs

Sep 09, 2023
Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman, Tamer Başar

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Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning

Jan 30, 2023
James Queeney, Mouhacine Benosman

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Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization

Apr 27, 2022
Weidong Cao, Mouhacine Benosman, Xuan Zhang, Rui Ma

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Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning

Feb 26, 2022
Weidong Cao, Mouhacine Benosman, Xuan Zhang, Rui Ma

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Lyapunov Robust Constrained-MDPs: Soft-Constrained Robustly Stable Policy Optimization under Model Uncertainty

Aug 05, 2021
Reazul Hasan Russel, Mouhacine Benosman, Jeroen Van Baar, Radu Corcodel

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Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty

Oct 10, 2020
Reazul Hasan Russel, Mouhacine Benosman, Jeroen Van Baar

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Optimizing Deep Neural Networks via Discretization of Finite-Time Convergent Flows

Oct 09, 2020
Mouhacine Benosman, Orlando Romero, Anoop Cherian

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