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09/21/2022
Distributed Online Non-convex Optimization with Composite Regret
Regret has been widely adopted as the metric of choice for evaluating th...
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03/29/2022
Stochastic Conservative Contextual Linear Bandits
Many physical systems have underlying safety considerations that require...
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12/06/2021
MDPGT: Momentum-based Decentralized Policy Gradient Tracking
We propose a novel policy gradient method for multi-agent reinforcement ...
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09/24/2021
A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems
Volt-var control (VVC) is the problem of operating power distribution sy...
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09/08/2021
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems
We introduce PowerGym, an open-source reinforcement learning environment...
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11/13/2020
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents
Advances in computing resources have resulted in the increasing complexi...
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07/14/2020
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
Adoption of machine learning (ML)-enabled cyber-physical systems (CPS) a...
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09/05/2019
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
Robustness of Deep Reinforcement Learning (DRL) algorithms towards adver...
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06/28/2019
Learning to Cope with Adversarial Attacks
The security of Deep Reinforcement Learning (Deep RL) algorithms deploye...
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11/29/2018
