Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs D Jang, L Spangher, T Srivistava, M Khattar, U Agwan, S Nadarajah, ... Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021 | 14 | 2021 |
Deep reinforcement learning with planning guardrails for building energy demand response D Jang, L Spangher, S Nadarajah, C Spanos Energy and AI 11, 100204, 2023 | 13* | 2023 |
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response D Jang, L Spangher, M Khattar, U Agwan, C Spanos e-Energy '21: The Twelfth ACM International Conference on Future Energy …, 2021 | 9 | 2021 |
Adversarial poisoning attacks on reinforcement learning-driven energy pricing S Gunn, D Jang, O Paradise, L Spangher, CJ Spanos Proceedings of the 9th ACM International Conference on Systems for Energy …, 2022 | 4 | 2022 |
Personalized Federated Hypernetworks for Multi-Task Reinforcement Learning in Microgrid Energy Demand Response D Jang, L Spangher, T Srivastava, L Yan, C Spanos Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 3* | 2023 |
Active Reinforcement Learning for Robust Building Control D Jang, L Yan, L Spangher, CJ Spanos Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22150 …, 2024 | 1 | 2024 |
Offline-online reinforcement learning for generalizing demand response price-setting to energy systems D Jang, L Spangher, M Khattar, U Agwan, S Nadarajah, C Spanos Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021 | | 2021 |