Proximal Policy Optimization Through a Deep Reinforcement Learning Framework for Multiple Autonomous Vehicles at a Non-Signalized Intersection

[1]  François Laviolette,et al.  Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..

[2]  Martin Gregurić,et al.  Application of Deep Reinforcement Learning in Traffic Signal Control: An Overview and Impact of Open Traffic Data , 2020, Applied Sciences.

[3]  Demis Hassabis,et al.  Mastering the game of Go with deep neural networks and tree search , 2016, Nature.

[4]  Shane Legg,et al.  Human-level control through deep reinforcement learning , 2015, Nature.

[5]  L. C. Davis.  Effect of adaptive cruise control systems on mixed traffic flow near an on-ramp , 2005 .

[6]  Daniel J. Fagnant,et al.  Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations , 2015 .

[7]  Rajesh Rajamani,et al.  Semi-autonomous adaptive cruise control systems , 2002, IEEE Trans. Veh. Technol..

[8]  Yong Fang,et al.  Double Deep Q-Network with a Dual-Agent for Traffic Signal Control , 2020 .

[9]  Marc G. Bellemare,et al.  The Arcade Learning Environment: An Evaluation Platform for General Agents , 2012, J. Artif. Intell. Res..

[10]  R. Bellman.  A Markovian Decision Process , 1957 .

[11]  Steven E Shladover,et al.  Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data , 2014 .

[12]  Shimon Whiteson,et al.  Traffic Light Control by Multiagent Reinforcement Learning Systems , 2010, Interactive Collaborative Information Systems.

[13]  Martin Treiber,et al.  Traffic Flow Dynamics , 2013 .

[14]  Xiqiao Zhang,et al.  The Research of Car-Following Model Based on Real-Time Maximum Deceleration , 2015 .

[15]  Qionghai Dai,et al.  Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control , 2020, IEEE Transactions on Cybernetics.

[16]  Don MacKenzie,et al.  Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles , 2016 .

[17]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.