A game theory–reinforcement learning (GT–RL) method to develop optimal operation policies for multi-operator reservoir systems.

MLA

Madani, Kaveh, and Milad Hooshyar. “A Game Theory–reinforcement Learning (GT–RL) Method to Develop Optimal Operation Policies for Multi-Operator Reservoir Systems.” Journal of Hydrology, vol. 519, Nov. 2014, pp. 732–42. EBSCOhost, https://doi.org/10.1016/j.jhydrol.2014.07.061.

APA

Madani, K., & Hooshyar, M. (2014). A game theory–reinforcement learning (GT–RL) method to develop optimal operation policies for multi-operator reservoir systems. Journal of Hydrology, 519, 732–742. https://doi.org/10.1016/j.jhydrol.2014.07.061

Chicago

Madani, Kaveh, and Milad Hooshyar. 2014. “A Game Theory–reinforcement Learning (GT–RL) Method to Develop Optimal Operation Policies for Multi-Operator Reservoir Systems.” Journal of Hydrology 519 (November): 732–42. doi:10.1016/j.jhydrol.2014.07.061.