How Deep Q Network works part1(Machine Learning)
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach(arXiv) Author : Yuli. Zhang, Shangbo. Wang, Ruiyuan. Jiang Abstract : Reinforcement Learning (RL) is currently one of the most commonly used techniques for traffic signal control (TSC), which can adaptively adjusted traffic signal phase and duration according to real-time traffic…
How Deep Q Network works part1(Machine Learning) Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach(arXiv) Author : Yuli. Zhang, Shangbo. Wang, Ruiyuan. Jiang Abstract : Reinforcement Learning (RL) is currently one of the most commonly used techniques for traffic signal control (TSC), which can adaptively adjusted traffic signal phase and duration according to real-time traffic… deep-learning
Deep Q Network work part1Machine Learning LargeScale Traffic Signal Control Nash Deep Qnetwork ApproacharXiv Author Yuli Zhang Shangbo Wang Ruiyuan Jiang Abstract Reinforcement Learning RL currently one commonly used technique traffic signal control TSC adaptively adjusted traffic signal phase duration according realtime traffic… deeplearning