Shypd.aiThe largest open index of AI toolsCityLearn is an open-source environment for multi-agent reinforcement learning in building energy coordination. It standardizes the evaluation of RL agents for demand response scenarios.
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CityLearn is an open-source environment designed for implementing multi-agent reinforcement learning (RL) in the context of building energy coordination and demand response. Its primary function is to facilitate and standardize the evaluation of RL agents, enabling straightforward comparisons between different algorithms. By providing a consistent framework, CityLearn addresses the inherent challenge of accurately comparing the performance of various algorithms within demand response scenarios.
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