Davide Coraci 
- (2025): A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: The HiLo case study. Dans: Energy and Buildings, v. 329 (février 2025).
- (2023): Comparison of two deep reinforcement learning algorithms towards an optimal policy for smart building thermal control. Dans: Journal of Physics: Conference Series, v. 2600, n. 7 (1 novembre 2023).
- (2024): An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems. Dans: Building Simulation, v. 17, n. 5 (janvier 2024).
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