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researcher

Daniel Bayer

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.MA1
ORCID 0000-0002-4063-4097

identity via Semantic Scholar / OpenAlex

most citedEnhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems

15 citations · 20 across the 2 of their papers we have counts for

collaborators
Showing cs.MAShow all

1 paper · 1 filter

cs.MA2023★ 15 cited

Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems

Daniel Bayer, Marco Pruckner

Systems for heating, ventilation and air-conditioning (HVAC) of buildings are traditionally controlled by a rule-based approach. In order to reduce the energy consumption and the e…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.