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José R. Vázquez-Canteli
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2020 – today
- 2022
- [i2]Zoltán Nagy, Juliana Felkner, Ariane L. Beck, D. Cale Reeves, Steven Richter, Vivek Shastry, Eli Ramthun, Edward Mbata, Stephen Zigmund, Benjamin Marshall, Linnea Marks, Vianey Rueda, Jasmine Triplett, Sarah Domedead, José R. Vázquez-Canteli, Varun Rai:
IMPACT: Integrated Multi-Domain Emission Pathways For Cities Under Land-Use Policy, Technology Adoption, Climate Change And Grid Decarbonization. CoRR abs/2202.07458 (2022) - 2021
- [c4]Zoltán Nagy, José R. Vázquez-Canteli, Sourav Dey, Gregor Henze:
The citylearn challenge 2021. BuildSys@SenSys 2021: 218-219 - 2020
- [c3]José R. Vázquez-Canteli, Gregor Henze, Zoltán Nagy:
MARLISA: Multi-Agent Reinforcement Learning with Iterative Sequential Action Selection for Load Shaping of Grid-Interactive Connected Buildings. BuildSys@SenSys 2020: 170-179 - [c2]José R. Vázquez-Canteli, Sourav Dey, Gregor Henze, Zoltán Nagy:
The CityLearn Challenge 2020. BuildSys@SenSys 2020: 320-321 - [i1]José R. Vázquez-Canteli, Sourav Dey, Gregor Henze, Zoltán Nagy:
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management. CoRR abs/2012.10504 (2020)
2010 – 2019
- 2019
- [c1]José R. Vázquez-Canteli
, Jérôme Henri Kämpf
, Gregor Henze, Zoltán Nagy
:
CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning. BuildSys@SenSys 2019: 356-357
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last updated on 2024-04-25 05:53 CEST by the dblp team
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