Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
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We applied the log function of the queues into Approximate Dynamic Programming to build a better single-intersection traffic light controller. We then use a distributed network of this controller to control multiple intersection. The simulated results on a big road network showed that the log function is more effective than the direct queues.