Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response. - Doseok Jang; Lucas Spangher; Manan Khattar; Utkarsha Agwan; Costas J. Spanos (e-Energy, 2021)

Offline-online reinforcement learning for generalizing demand response price-setting to energy systems. - Doseok Jang; Lucas Spangher; Manan Khattar; Utkarsha Agwan; Selvaprabuh Nadarajah; Costas J. Spanos (BuildSys, 2021)

Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs. - Doseok Jang; Lucas Spangher; Tarang Srivastava; Manan Khattar; Utkarsha Agwan; Selvaprabu Nadarajah; Costas J. Spanos (BuildSys, 2021)

Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs. - Doseok Jang; Lucas Spangher; Manan Khattar; Utkarsha Agwan; Selvaprabuh Nadarajah; Costas J. Spanos (CoRR, 2021)

Adversarial poisoning attacks on reinforcement learning-driven energy pricing. - Sam Gunn; Doseok Jang; Orr Paradise; Lucas Spangher; Costas J. Spanos (BuildSys, 2022)

Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning. - Doseok Jang; Larry Yan; Lucas Spangher; Costas J. Spanos (CoRR, 2022)

Personalized Federated Hypernetworks for Multi-Task Reinforcement Learning in Microgrid Energy Demand Response. - Doseok Jang; Lucas Spangher; Tarang Srivastava; Larry Yan; Costas J. Spanos (BuildSys, 2023)

Active Reinforcement Learning for Robust Building Control. - Doseok Jang; Larry Yan; Lucas Spangher; Costas J. Spanos (AAAI, 2024)