Michael G. Forbes

Honeywell (Canada) — Canada

Engineering · Physical Sciences

12h-index813citations51works1.02yr avg
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Research Topics

Advanced Control Systems Optimization(32), Fault Detection and Control Systems(31), Control Systems and Identification(22), Reinforcement Learning in Robotics(8), Fuel Cells and Related Materials(6)

Publications51 total

A view on learning robust goal-conditioned value functions: Interplay between RL and MPC
arXiv (Cornell University)·2025Open Access
A view on learning robust goal-conditioned value functions: Interplay between RL and MPC
Annual Reviews in Control·2025· 1 cited
Guiding Reinforcement Learning with Incomplete System Dynamics
arXiv (Cornell University)·2024· 1 citedOpen Access
Guiding Reinforcement Learning with Incomplete System Dynamics
2024
Deep Hankel matrices with random elements
arXiv (Cornell University)·2024Open Access
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
Automatica·2024· 4 citedOpen Access
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
arXiv (Cornell University)·2023Open Access
Reinforcement Learning with Partial Parametric Model Knowledge
arXiv (Cornell University)·2023Open Access
A modular framework for stabilizing deep reinforcement learning control
arXiv (Cornell University)·2023Open Access
A modular framework for stabilizing deep reinforcement learning control
IFAC-PapersOnLine·2023· 2 citedOpen Access
Reinforcement Learning with Partial Parametric Model Knowledge
IFAC-PapersOnLine·2023Open Access
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
arXiv (Cornell University)·2022Open Access
Meta-reinforcement learning for the tuning of PI controllers: An offline approach
Journal of Process Control·2022· 41 cited
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
2022· 4 cited
Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline Approach
arXiv (Cornell University)·2022· 3 citedOpen Access
Deep reinforcement learning with shallow controllers: An experimental application to PID tuning
Control Engineering Practice·2022· 103 citedOpen Access
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning
arXiv (Cornell University)·2021· 3 citedOpen Access
Approximately Optimal Fixed-Structure Controllers Using Neural Networks
2021Open Access
Almost Surely Stable Deep Dynamics
arXiv (Cornell University)·2021· 8 citedOpen Access
Model-plant mismatch detection for cross-directional processes
ISA Transactions·2021· 2 cited
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Frequent Co-authors

R. Bhushan Gopaluni(36), Philip D. Loewen(33), Johan U. Backström(30), Nathan P. Lawrence(21), Guy A. Dumont(12), Qiugang Lu(9), Daniel G. McClement(8), Martin Guay(7), J. Fraser Forbes(7), Tongwen Chen(6), Ning He(5), Mahdi Yousefi(5), Shuyuan Wang(5), Dawei Shi(4), Lee D. Rippon(4), Shuyuan Wang(4), Jiadong Wang(3), Jingliang Duan(2), Lixian Zhang(2), Rohit S. Patwardhan(1)