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description: Classical Traffic Signal Control uses fixed signal duration and sequence based on estimates of expected traffic on each intersection leg . In this paper we explore the possibility of using deep reinforcement learning to adapt the traffic signal duration and sequence to changing traffic conditions autonomously.