UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRBW06017


Registration ID:
207206

Page Number

88-90

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Title

Deep Learning on Atari Games using Deep Q-Learning Algorithm

Abstract

Deep reinforcement learning is giving us state-of-the-art algorithms and one of such algorithms from this field is deep q-learning. It uses CNN's and works directly on raw input images. This algorithm was applied on Atari games and evaluated under different environments.

Key Words

Reinforcement learning, Deep Q-Learning, Machine learning, Artificial Intelligence

Cite This Article

"Deep Learning on Atari Games using Deep Q-Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.88-90, May-2019, Available :http://www.jetir.org/papers/JETIRBW06017.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Deep Learning on Atari Games using Deep Q-Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp88-90, May-2019, Available at : http://www.jetir.org/papers/JETIRBW06017.pdf

Publication Details

Published Paper ID: JETIRBW06017
Registration ID: 207206
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.23839
Page No: 88-90
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIRBW06017
Published Paper PDF: https://www.jetir.org/papers/JETIRBW06017

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