Page 142 - Read Online
P. 142

Boin et al. Intell Robot 2022;2(2):145­67  I http://dx.doi.org/10.20517/ir.2022.11  Page 167


               25. Lin Y, Mcphee J, Azad NL. Comparison of deep reinforcement learning and model predictive control for adaptive cruise control. IEEE
                  Trans Intell Veh 2021;6:221­31. Available: http://dx.doi.org/10.1109/TIV.2020.3012947
               26. Yan R, Jiang R, Jia B, Yang D, Huang J. Hybrid car­following strategy based on deep deterministic policy gradient and cooperative
                  adaptive cruise control, 2021.
               27. Zhu M, Wang Y, Hu J, Wang X, Ke R. Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous
                  driving. CoRR, vol. abs/1902.00089, 2019. [Online]. Available: http://arxiv.org/abs/1902.00089
               28. Lei L, Liu T, Zheng K, Hanzo L. Deep reinforcement learning aided platoon control relying on V2X information. IEEE Transactions on
                  Vehicular Technolog 2022. Available: http://dx.doi.org/10.1109/TVT.2022.3161585
               29. Lei L, Tan Y, Zheng K, Liu S, Zhang K, Shen X. Deep reinforcement learning for autonomous internet of things: Model, applications and
                  challenges. IEEE Communications Surveys Tutorials 2020;22:1722­60.
   137   138   139   140   141   142   143   144   145   146   147