• Corpus ID: 244130159

Analysis of Model-Free Reinforcement Learning Control Schemes on self-balancing Wheeled Extendible System

@article{Kanishk2021AnalysisOM,
  title={Analysis of Model-Free Reinforcement Learning Control Schemes on self-balancing Wheeled Extendible System},
  author={Kanishk and Rushil K. Kumar and Vikas Rastogi and Ajeet Kumar},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.08389}
}
Traditional linear control strategies have been extensively researched and utilized in many robotic and industrial applications and yet they don’t respond to the total dynamics of the systems. To avoid tedious calculations for nonlinear control schemes like H-infinity control and predictive control, the application of Reinforcement Learning(RL) can provide alternative solutions. This article presents the implementation of RL control with Deep Deterministic Policy Gradient and Proximal Policy… 

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