Modern Deep Reinforcement Learning Algorithms Survey -S-Logix

Modern Deep Reinforcement Learning Algorithms - 2019

Research Area: Machine Learning

Abstract:

Recent advances in Reinforcement Learning, grounded on combining classical theoretical results with Deep Learning paradigm, led to breakthroughs in many artificial intelligence tasks and gave birth to Deep Reinforcement Learning (DRL) as a field of research. In this work latest DRL algorithms are reviewed with a focus on their theoretical justification, practical limitations and observed empirical properties.

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Author(s) Name: Sergey Ivanov, Alexander Dyakonov

Journal name: arXiv.org/cs

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Publisher name: arXiv.org

DOI: arXiv:1906.10025

Volume Information: arXiv:1906.10025

Paper Link: https://arxiv.org/abs/1906.10025

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Modern Deep Reinforcement Learning Algorithms - 2019

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