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Journal of Artificial Intelligence Research–279 Submitted 02/13; publishedThe Arcade Learning Environment: An Evaluation Platform for General Agents
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Document Date: 2013-06-23 20:22:03

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File Size: 569,44 KB

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City

Edmonton / Vancouver / /

Company

Empirical Results Inc. / Russell / Atari / /

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Facility

Arcade Learning Environment We / University of Alberta / Arcade Learning Environment / /

IndustryTerm

deeper search / software framework / breadth-first search / search tree corresponding / exhaustive search / open-source software / search algorithms / search methods / parameter search / search horizon / bandit algorithm / game console hardware / search tree / search results / /

MarketIndex

ALE / /

MusicGroup

Tennis / Escape / /

OperatingSystem

GNU / /

Organization

University of Alberta / AI Access Foundation / /

Person

R .O. Boxin / Joel Veness Michael Bowling / Marc G. Bellemare / /

Position

general / domain-independent AI technology / non-expert human player / joystick controller / General / player / GNU General Public License / swimmer / representative / /

ProgrammingLanguage

C++ / /

ProvinceOrState

Alberta / British Columbia / /

PublishedMedium

Private Eye / Journal of Artificial Intelligence Research / /

Technology

RAM / search algorithms / UCT algorithm / bandit algorithm / machine learning / ALE / 2600 Agents Applying algorithms / two algorithms / artificial intelligence / 1.3 Inter-Algorithm / simulation / AI technology / /

URL

http /

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