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The Ethereal
Modern Deep Reinforcement Learning Algorithms
June 24, 2019 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Sergey Ivanov, Alexander D'yakonov
arXiv ID
1906.10025
Category
cs.LG: Machine Learning
Cross-listed
cs.AI,
stat.ML
Citations
44
Venue
arXiv.org
Last Checked
6 months ago
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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