Lucas Spangher

According to our database, Lucas Spangher authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Active Reinforcement Learning for Robust Building Control.

Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Continuous Convolutional Neural Networks for Disruption Prediction in Nuclear Fusion Plasmas.

William F. Arnold, Lucas Spangher, Christina Rea

CoRR, 2023

Personalized Federated Hypernetworks for Multi-Task Reinforcement Learning in Microgrid Energy Demand Response.

Doseok Jang, Lucas Spangher, Tarang Srivastava, Larry Yan, Costas J. Spanos

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2022

Machine Learning for Smart and Energy-Efficient Buildings.

Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan, Lucas Spangher, Alex Devonport, Yu Yang, Ján Drgona, Adrian Chong, Stefano Schiavon, Costas J. Spanos

CoRR, 2022

Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning.

Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos

CoRR, 2022

Adversarial poisoning attacks on reinforcement learning-driven energy pricing.

Sam Gunn, Doseok Jang, Orr Paradise, Lucas Spangher, Costas J. Spanos

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

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

Transactive multi-agent reinforcement learning for distributed energy price localization.

Lucas Spangher

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 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

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 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

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

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

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control.

William F. Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Pricing in Prosumer Aggregations using Reinforcement Learning.

Utkarsha Agwan, Lucas Spangher, William F. Arnold, Tarang Srivastava, Kameshwar Poolla, Costas J. Spanos

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020

Prospective Experiment for Reinforcement Learning on Demand Response in a Social Game Framework.

Lucas Spangher, Akash Gokul, Manan Khattar, Joseph Palakapilly, Akaash Tawade, Adam Bouyamourn, Alex Devonport, Costas J. Spanos

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020