We are now opening the period to sign up for the CityLearn Challenge of multi-agent reinforcement learning for intelligent energy management and demand response, which will begin with the release of the first dataset on January 15th and is endorsed by International Building Performance Simulation Association (IBPSA). For more information, please visit the website of the challenge or the Github repository.
Teams can sign up any time (max. 3 people per team). On January 15th, we will upload the design dataset to the Github repository. Teams can submit their agent(s) and get feedback from the evaluation dataset until March 15th, and they must submit their final agent(s) to be run on the challenge dataset by March 31st. The teams with the top performing agent(s) will be encouraged to submit their findings to a special issue in a reputed journal (in preparation), more details will be disclosed as soon as possible.
We appreciate your interest, and for any questions about the challenge please don’t hesitate to contact us. We are looking forward to seeing you sign up and obtaining state-of-the-art results!