Decision-making strategy on highway for autonomous vehicles using deep reinforcement learning

J Liao, T Liu, X Tang, X Mu, B Huang, D Cao - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous driving is a promising technology to reduce traffic accidents and improve
driving efficiency. In this work, a deep reinforcement learning (DRL)-enabled decision …
被引用次数：65 相关文章
[PDF] researchgate.net

[PDF][PDF] Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning

J Liao, T Liu, X Tang, X Mu, B Huang, D Cao - researchgate.net
Autonomous driving is a promising technology to reduce traffic accidents and improve
driving efficiency. In this work, a deep reinforcement learning (DRL)-enabled decision …

Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning

J Liao, T Liu, X Tang, X Mu, B Huang, D Cao - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Autonomous driving is a promising technology to reduce traffic accidents and improve
driving efficiency. In this work, a deep reinforcement learning (DRL)-enabled decision …

Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning

J Liao, T Liu, X Tang, X Mu, B Huang, D Cao - arXiv preprint arXiv …, 2020 - arxiv.org
Autonomous driving is a promising technology to reduce traffic accidents and improve
driving efficiency. In this work, a deep reinforcement learning (DRL)-enabled decision …

[引用][C] Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep Reinforcement Learning

J Liao, T Liu, X Tang, X Mu, B Huang, D Cao - IEEE Access, 2020 - ui.adsabs.harvard.edu
Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep
Reinforcement Learning - NASA/ADS Now on home page ads icon ads Enable full ADS …