SIGNAL CONTROL APPARATUS AND METHOD BASED ON REINFORCEMENT LEARNING

Proposed herein are a signal control apparatus and method. The signal control apparatus includes: a photographing unit configured to acquire a plurality of intersection images by capturing a plurality of intersections; a storage configured to store a program for the control of traffic signals; and a controller including at least one processor, and configured to calculate control information for the control of traffic lights at each of the plurality of intersections using the intersection images acquired through the photographing unit by executing the program. The controller calculates control information for the control of traffic lights at each of the plurality of intersections based on action information calculated by a plurality of agents by using a plurality of agents based on a reinforcement learning model trained by outputting action information for the control of traffic lights while using state information and a reward as input values.