An Introduction to Deep Reinforcement Learning

@article{FranoisLavet2018AnIT,
  title={An Introduction to Deep Reinforcement Learning},
  author={Vincent François-Lavet and Peter Henderson and Riashat Islam and Marc G. Bellemare and Joelle Pineau},
  journal={Found. Trends Mach. Learn.},
  year={2018},
  volume={11},
  pages={219-354}
}
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. Thus, deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This manuscript provides an introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the… 

A Comprehensive Discussion on Deep Reinforcement Learning

  • Weikang XuLinbo ChenHongyu Yang
  • Computer Science
    2021 International Conference on Communications, Information System and Computer Engineering (CISCE)
  • 2021
An overview of recent achievements in deep reinforcement learning, an overview of deep RL applications, and the future ofDeep reinforcement learning are proposed.

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