Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects

Released on by Tohid Atashbar
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  • Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects Book Detail

  • Author : Tohid Atashbar
  • Release Date : 2022-12-16
  • Publisher : International Monetary Fund
  • Genre : Business & Economics
  • Pages : 32
  • ISBN 13 :
  • File Size : 20,20 MB
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Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects by Tohid Atashbar PDF Summary

Book Description: The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.

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Recent Advances in Reinforcement Learning

Recent Advances in Reinforcement Learning

File Size : 56,56 MB
Total View : 5415 Views
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Recent Advances in Reinforcement Learning addresses current research in an exciting area that is gaining a great deal of popularity in the Artificial Intelligen