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12/17/2022
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
This paper presents a novel federated reinforcement learning (Fed-RL) me...
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05/22/2022
Neural Lyapunov Differentiable Predictive Control
We present a learning-based predictive control methodology using the dif...
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03/02/2022
Learning Stochastic Parametric Differentiable Predictive Control Policies
The problem of synthesizing stochastic explicit model predictive control...
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12/02/2021
Safe Reinforcement Learning for Grid Voltage Control
Under voltage load shedding has been considered as a standard approach t...
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11/08/2021
On the Stochastic Stability of Deep Markov Models
Deep Markov models (DMM) are generative models that are scalable and exp...
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02/01/2021
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks
This paper presents a secure reinforcement learning (RL) based control m...
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01/29/2021
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning
This paper presents a novel hierarchical deep reinforcement learning (DR...
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11/12/2020
Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator
This paper discusses learning a structured feedback control to obtain su...
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11/02/2020
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
This paper delves into designing stabilizing feedback control gains for ...
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04/29/2020
Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations
We present a set of model-free, reduced-dimensional reinforcement learni...
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09/26/2016