SMAC-tuned Deep Q-learning for Ramp Metering

The demand for transportation increases as the population of a city grows, and significant expansion is not conceivable because of spatial, financial, and environmental limitations. As a result, improving infrastructure efficiency is becoming increasingly critical. Ramp metering with deep reinforcement learning (RL) is a method to tackle this problem. However, fine-tuning RL hyperparameters for RM is yet to be explored in the literature, …