| 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 | 14* | 2023 |
| 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 |
| 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 | 6 | 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 | 4* | 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 |
Lucas SpangherPostdoc Research Affiliate at Massachusetts Institute of TechnologyVerified email at berkeley.edu
