Lucas Spangher

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Top Venues

BuildSys@SenSys

Publications

Pierre Harvey Richemond, Yunhao Tang, Daniel Guo, Daniele Calandriello, Mohammad Gheshlaghi Azar, Rafael Rafailov, Bernardo Ávila Pires, Eugene Tarassov, Lucas Spangher, Will Ellsworth, Aliaksei Severyn, Jonathan Mallinson, Lior Shani, Gil Shamir, Rishabh Joshi, Tianqi Liu, Rémi Munos, Bilal Piot
Offline Regularised Reinforcement Learning for Large Language Models Alignment. CoRR (2024)
Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos
Active Reinforcement Learning for Robust Building Control. AAAI (2024)
William F. Arnold, Lucas Spangher, Christina Rea
Continuous Convolutional Neural Networks for Disruption Prediction in Nuclear Fusion Plasmas. CoRR (2023)
Doseok Jang, Lucas Spangher, Tarang Srivastava, Larry Yan, Costas J. Spanos
Personalized Federated Hypernetworks for Multi-Task Reinforcement Learning in Microgrid Energy Demand Response. BuildSys@SenSys (2023)
Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos
Active Reinforcement Learning for Robust Building Control. CoRR (2023)
Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan, Lucas Spangher, Alex Devonport, Yu Yang, Ján Drgona, Adrian Chong, Stefano Schiavon, Costas J. Spanos
Machine Learning for Smart and Energy-Efficient Buildings. CoRR (2022)
Sam Gunn, Doseok Jang, Orr Paradise, Lucas Spangher, Costas J. Spanos
Adversarial poisoning attacks on reinforcement learning-driven energy pricing. BuildSys@SenSys (2022)
Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos
Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning. CoRR (2022)
Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas J. Spanos
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response. e-Energy (2021)
Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos
Offline-online reinforcement learning for generalizing demand response price-setting to energy systems. BuildSys@SenSys (2021)
Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos
Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs. CoRR (2021)
Lucas Spangher
Transactive multi-agent reinforcement learning for distributed energy price localization. BuildSys@SenSys (2021)
Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas J. Spanos
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response. CoRR (2021)
William Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. CoRR (2021)
Utkarsha Agwan, Lucas Spangher, William Arnold, Tarang Srivastava, Kameshwar Poolla, Costas J. Spanos
Pricing in Prosumer Aggregations using Reinforcement Learning. e-Energy (2021)
William Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. e-Energy (2021)
Doseok Jang, Lucas Spangher, Tarang Srivastava, Manan Khattar, Utkarsha Agwan, Selvaprabu Nadarajah, Costas J. Spanos
Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs. BuildSys@SenSys (2021)
Lucas Spangher, Akash Gokul, Manan Khattar, Joseph Palakapilly, Akaash Tawade, Adam Bouyamourn, Alex Devonport, Costas J. Spanos
Prospective Experiment for Reinforcement Learning on Demand Response in a Social Game Framework. e-Energy (2020)