Deep reinforcement learning with robust deep deterministic policy gradient

Recently, Deep Deterministic Policy Gradient (DDPG) is a popular deep reinforcement learning algorithms applied to continuous control problems like autonomous driving and robotics. Although DDPG can produce very good results, it has its drawbacks. DDPG can become unstable and heavily dependent on se...

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Bibliographic Details
Main Authors: Teckchai Tiong, Ismail Saad, Kenneth Tze Kin Teo, Herwansyah Lago
Format: Proceedings
Language:English
Published: IEEE Xplore 2020
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/27893/1/Deep%20reinforcement%20learning%20with%20robust%20deep%20deterministic%20policy%20gradient-Abstract.pdf
https://eprints.ums.edu.my/id/eprint/27893/
https://ieeexplore.ieee.org/document/9309539
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