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Ruelens, F (author), Claessens, BJ (author), Vandael, S (author), De Schutter, B.H.K. (author), Babuska, R. (author), Belmans, R (author)
Driven by recent advances in batch Reinforcement Learning (RL), this paper contributes to the application of batch RL to demand response. In contrast to conventional model-based approaches, batch RL techniques do not require a system identification step, making them more suitable for a large-scale implementation. This paper extends fitted Q...
journal article 2017