A Deep Reinforcement Learning Approach to Adaptive Traffic Lights Management
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Stefania Bandini | Giuseppe Vizzari | Luca Crociani | Andrea Vidali | S. Bandini | Giuseppe Vizzari | L. Crociani | A. Vidali
[1] Daniel Krajzewicz,et al. SUMO - Simulation of Urban MObility An Overview , 2011 .
[2] Long-Ji Lin,et al. Reinforcement learning for robots using neural networks , 1992 .
[3] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[4] Peter Corcoran,et al. Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning , 2017, ArXiv.
[5] Richard Dowling,et al. Traffic Analysis Toolbox Volume VI: Definition, Interpretation, and Calculation of Traffic Analysis Tools Measures of Effectiveness , 2007 .
[6] Daniel Krajzewicz,et al. SUMO (Simulation of Urban MObility) - an open-source traffic simulation , 2002 .
[7] Chris Watkins,et al. Learning from delayed rewards , 1989 .
[8] Mee Hong Ling,et al. A Survey on Reinforcement Learning Models and Algorithms for Traffic Signal Control , 2017, ACM Comput. Surv..
[9] Saiedeh N. Razavi,et al. Using a Deep Reinforcement Learning Agent for Traffic Signal Control , 2016, ArXiv.
[10] Minoru Ito,et al. Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network , 2017, ArXiv.
[11] John N. Tsitsiklis,et al. Analysis of temporal-difference learning with function approximation , 1996, NIPS 1996.
[12] Li Li,et al. Traffic signal timing via deep reinforcement learning , 2016, IEEE/CAA Journal of Automatica Sinica.
[13] Saiedeh N. Razavi,et al. Evaluating reinforcement learning state representations for adaptive traffic signal control , 2019, ANT/SEIT.
[14] Sergey Levine,et al. QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation , 2018, CoRL.
[15] Zhenhui Li,et al. IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control , 2018, KDD.
[16] Bruce Robinson,et al. Signalized Intersections Informational Guide , 2004 .
[17] Peter Dayan,et al. Q-learning , 1992, Machine Learning.