# Practical deployment of reinforcement learning for building controls using an imitation learning approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/practical-deployment-of-reinforcement-learning-for-building-controls-using-an/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Alberto Silvestri,Davide Coraci,Silvio Brandi,Alfonso Capozzoli,Arno Schlueter |
| Citations | 23 |
| DOI | 10.1016/j.enbuild.2025.115511 |
| Fields | Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.enbuild.2025.115511 |
| OpenAlex ID | https://openalex.org/W4407954544 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Alberto Silvestri](https://scholariq.org/researchers/alberto-silvestri/)

## Paper journal

- [Energy and Buildings](https://scholariq.org/journals/energy-and-buildings/)

## Paper primary topic

- [Building Energy and Comfort Optimization](https://scholariq.org/topics/building-energy-and-comfort-optimization/)

## Paper topics

- [Building Energy and Comfort Optimization](https://scholariq.org/topics/building-energy-and-comfort-optimization/)
- [Elevator Systems and Control](https://scholariq.org/topics/elevator-systems-and-control/)
- [Smart Grid Energy Management](https://scholariq.org/topics/smart-grid-energy-management/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.