default search action
Lucas Spangher
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c11]Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos:
Active Reinforcement Learning for Robust Building Control. AAAI 2024: 22150-22158 - [c10]Lucas Spangher, Allen M. Wang, Andrew Maris, Myles Stapelberg, Viraj Mehta, Alex Saperstein, Stephen Lane-Walsh, Akshata Kishore Moharir, Alessandro Pau, Cristina Rea:
Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy. ICML 2024 - [i10]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 abs/2405.19107 (2024) - [i9]Dhruva Chayapathy, Tavis Siebert, Lucas Spangher, Akshata Kishore Moharir, Om Manoj Patil, Cristina Rea:
Time Series Viewmakers for Robust Disruption Prediction. CoRR abs/2410.11065 (2024) - [i8]Lucas Spangher, Tianle Li, William F. Arnold, Nick Masiewicki, Xerxes Dotiwalla, Rama Parusmathi, Peter Grabowski, Eugene Ie, Dan Gruhl:
Project MPG: towards a generalized performance benchmark for LLM capabilities. CoRR abs/2410.22368 (2024) - 2023
- [c9]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: 79-88 - [i7]William F. Arnold, Lucas Spangher, Christina Rea:
Continuous Convolutional Neural Networks for Disruption Prediction in Nuclear Fusion Plasmas. CoRR abs/2312.01286 (2023) - [i6]Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos:
Active Reinforcement Learning for Robust Building Control. CoRR abs/2312.10289 (2023) - 2022
- [c8]Sam Gunn, Doseok Jang, Orr Paradise, Lucas Spangher, Costas J. Spanos:
Adversarial poisoning attacks on reinforcement learning-driven energy pricing. BuildSys@SenSys 2022: 262-265 - [i5]Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos:
Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning. CoRR abs/2210.06820 (2022) - [i4]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 abs/2211.14889 (2022) - 2021
- [c7]Utkarsha Agwan, Lucas Spangher, William F. Arnold, Tarang Srivastava, Kameshwar Poolla, Costas J. Spanos:
Pricing in Prosumer Aggregations using Reinforcement Learning. e-Energy 2021: 220-224 - [c6]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: 483-487 - [c5]William F. Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos:
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. e-Energy 2021: 488-492 - [c4]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: 131-139 - [c3]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: 220-221 - [c2]Lucas Spangher:
Transactive multi-agent reinforcement learning for distributed energy price localization. BuildSys@SenSys 2021: 244-245 - [i3]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 abs/2104.14670 (2021) - [i2]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 abs/2108.06594 (2021) - [i1]William F. Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos:
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. CoRR abs/2111.06025 (2021) - 2020
- [c1]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: 438-444
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 01:08 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint