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PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems.

, , and . L4DC, volume 168 of Proceedings of Machine Learning Research, page 21-33. PMLR, (2022)

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NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned., , , , , , , , , and 12 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 50-72. PMLR, (2021)XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection., , , , , , and . CVPR Workshops, page 4375-4384. IEEE, (2023)A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations., , and . AI Open, (2024)An ensemble of convolution-based methods for fault detection using vibration signals., , , , , and . ICPHM, page 172-179. IEEE, (2023)Robustifying Reinforcement Learning Agents via Action Space Adversarial Training., , , , and . ACC, page 3959-3964. IEEE, (2020)Query-based targeted action-space adversarial policies on deep reinforcement learning agents., , , and . ICCPS, page 87-97. ACM, (2021)PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems., , and . L4DC, volume 168 of Proceedings of Machine Learning Research, page 21-33. PMLR, (2022)Stochastic Conservative Contextual Linear Bandits., , , , , and . CDC, page 7321-7326. IEEE, (2022)Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems., , , , and . CoRR, (2024)Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents., , , and . CoRR, (2020)