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03/10/2022
Scalable Security Investment Methods for Voltage Stability of Power Systems
We develop investment approaches to secure electric power systems agains...
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02/26/2022
A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning
The main challenge of large-scale cooperative multi-agent reinforcement ...
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01/10/2022
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph
Existing distributed cooperative multi-agent reinforcement learning (MAR...
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07/26/2021
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
Recently introduced distributed zeroth-order optimization (ZOO) algorith...
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10/16/2020
Hierarchical Reinforcement Learning for Optimal Control of Linear Multi-Agent Systems: the Homogeneous Case
Individual agents in a multi-agent system (MAS) may have decoupled open-...
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08/14/2020
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation
Designing the optimal linear quadratic regulator (LQR) for a large-scale...
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06/20/2020
A Stackelberg Security Investment Game for Voltage Stability of Power Systems
We formulate a Stackelberg game between an attacker and a defender of a ...
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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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03/26/2020