C
search
search
reviewers
reviewers
feeds
feeds
assignments
assignments
settings
logout
Lucas Spangher
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 16
Top Topics
Distributional Assumptions
Robocup Soccer
Active Control
High Energy
Top Venues
CoRR
BuildSys@SenSys
e-Energy
</>
Publications
</>
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)