Multi-agent reinforcement learning for optimizing technology deployment in distributed multi-energy systems

Choose the citation style.
Bollinger, L. A., & Evins, R. (2016). Multi-agent reinforcement learning for optimizing technology deployment in distributed multi-energy systems. In G. Ślusarczyk, B. Strug, & P. J. C. J. de Wielde (Eds.), Proceedings of the 23rd international workshop on intelligent computing in engineering (p. (12 pp.). European Group for Intelligent Computing in Engineering (EG-ICE).