Learning Based Analytics and Predictive Control Research Group @UCBerkeley. Check out mesbahlab.com for more information!

Joined August 2020
Photos and videos
New📜Publication Alert📰: Stability-constrained policy optimization under unknown rewards. See how policy search RL can ensure stability for safe and reliable decision-making under uncertainty! doi.org/10.1016/j.ifacsc.202… #Control #ReinforcementLearning #MachineLearning

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18 Dec 2025
New✨Publication Alert📷: MPCritic: A Plug-and-Play MPC Architecture for Reinforcement Learning. static1.squarespace.com/stat… #Control #ReinforcementLearning #MachineLearning

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11 Nov 2025
🌟Congratulations🌟: Tommy received second place in the CAST Directors’ Student Presentation Awards, presenting his work “MPCritic: A Unified Framework for MPC and Reinforcement Learning” at the 2025 AIChE Annual Meeting. The full paper can be found here: arxiv.org/abs/2504.01086
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❗️Call for Papers❗️: An upcoming special issue in Control Engineering Practice aims to collect novel Bayesian optimization approaches for the optimization and tuning of industrial and personalized systems and processes. For more information, please see: sciencedirect.com/special-is…

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27 Dec 2024
New✨Publication Alert📷: Data-Driven Discovery of Sparse Dimensionless Numbers and Nondimensional Relations for Low-Temperature Plasmas. See how dimensionless relationships can be discovered from process data! doi.org/10.1088/1361-6463/ad… #dimensionless #scaling #plasma

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14 Dec 2024
Upcoming 🎙️Conference Presentation🎙️: Preference-based Multi-Objective Bayesian Optimization with Gradients. Josh will be speaking on his work at the NeurIPS workshop on Bayesian Decision-making and Uncertainty tomorrow, December 14th. gp-seminar-series.github.io/…
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29 Sep 2024
New ✨Publication Alert📷: Nitrogen accountancy in space agriculture. Learn about space agriculture modeling to account for the nitrogen dependence of crops! doi.org/10.1038/s41526-024-0… #closedloop #space #agriculture #nitrogen #modeling #GSA

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29 Sep 2024
New ✨Publication Alert📷: Stability-informed Bayesian optimization for MPC cost function learning. Learn about BO for optimizing MPC performance with safety considerations! doi.org/10.1016/j.ifacol.202… #Lyapunov #stability #Bayesian #optimization

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29 Sep 2024
New ✨Publication Alert📷: Time-varying Bayesian optimization for MPC calibration for run-to-run drifting systems: A study on discrete-temporal kernels. Learn about MPC auto-tuning via BO for time-varying systems! doi.org/10.1016/j.ifacol.202… #MPC #timevarying #Bayesian #optimization

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16 Jul 2024
New ✨Publication Alert📷: Efficient Performance-based MPC Tuning in High Dimensions using Bayesian Optimization over Sparse Subspaces. Learn about BO for MPC tuning with many parameters here! cello-blueberry-n67w.squares… #autotuning #control #Bayesian #optimization

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12 Jun 2024
New ✨Publication Alert📷: Designing embedded control policies requires algorithmic design and hardware implementation decisions. Learn about Bayesian optimization as a framework for co-design here! doi.org/10.1109/TCST.2024.34… #embedded #control #codesign #Bayesian #optimization

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New ✨Publication Alert📷: Curious on what the future holds for plasma etching for microelectronics? Find out here! doi.org/10.1116/6.0003579 #plasma #microelectronics #semiconductor #machine #ML #AI

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🎉Congratulations🥳: Our newest member, Thomas Banker, was selected as a recipient of the National Science Foundation Graduate Research Fellowship!
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New ✨Publication Alert📷: See how time-varying Bayesian optimization can aid controller auto-tuning in the face of process drift for plasma-assisted semiconductor manufacturing! doi-org.libproxy.berkeley.ed… #bayesian #optimization #control #plasma #semiconductor

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