Davide Coraci

An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems

Comparison of two deep reinforcement learning algorithms towards an optimal policy for smart building thermal control

Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings

Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings

Energy management of a residential heating system through deep reinforcement learning

Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings

Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings

Adaptive Control Strategies for enhancing energy efficiency and comfort in buildings