most citedSINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning

27 citations · 27 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 27 cited

SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning

Alejandro Campoy-Nieves, Antonio Manjavacas, Javier Jiménez-Raboso +2

Simulation has become a crucial tool for Building Energy Optimization (BEO) as it enables the evaluation of different design and control strategies at a low cost. Machine Learning…