A multi-objective adaptive traffic signal control algorithm using fuzzy control and Q-learning was proposed to improve the efficiency, traffic safety, and operational stability of signalized ...

We propose a multi-objective Reinforcement Learning approach for RSA in optical networks, integrating awareness of signal quality, delay, and load-balancing. It outperforms traditional algorithms with ...

Carnegie Mellon’s School of Computer Science is widely recognized as one of the first and best computer science programs in the world. Our programs train the next generation of innovators to solve ...