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  • | name = Atari Calculator | screenshot = Atari Calculator screenshot.png ...
    32 KB (4,022 words) - 09:30, 30 January 2025

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  • | name = Atari Calculator | screenshot = Atari Calculator screenshot.png ...
    32 KB (4,022 words) - 09:30, 30 January 2025
  • ...ansformer with 1 billion parameters that is superhuman on 41 [[Atari Games|Atari games]].<ref>{{Citation |last1=Lee |first1=Kuang-Huei |title=Multi-Game Dec ...
    12 KB (1,696 words) - 20:17, 6 December 2024
  • {{about|the Nintendo-developed NES game|the Tengen NES game|Tetris (Atari Games)}} ...ter a legal battle between Nintendo and [[Atari Games]], who had [[Tetris (Atari Games)|previously released a console port]] outside of the terms of their ' ...
    52 KB (6,984 words) - 01:48, 1 March 2025
  • ...of problems, from single and multiplayer games such as [[Go (game)|Go]], [[Atari Games]], and ''[[Dota 2]]'' to robotics.<ref>{{Cite web |last=Graesser |fir ...3, [[DeepMind]] showed impressive learning results using deep RL to play [[Atari]] video games.<ref name="DQN1"/><ref name="DQN2"/> The computer player a ne ...
    27 KB (3,772 words) - 14:36, 28 June 2024
  • ...the [[IBM Personal Computer]], [[Amiga|Commodore Amiga]], [[Macintosh]], [[Atari ST]] and [[Apple IIgs]]. The Macintosh version was created by Brodie Lockar ...
    9 KB (1,339 words) - 02:08, 27 February 2025
  • ...beating professional players at [[Dota 2]] ([[OpenAI Five]]), and playing Atari games.<ref name=":1">Arxiv Insights. "An introduction to Policy Gradient me ...
    17 KB (2,491 words) - 09:02, 10 February 2025
  • ...+ and the MSX TurboR computers. It was also used in some arcade games by [[Atari]], [[SNK]] and [[Alpha Denshi]], among others. ...
    21 KB (3,199 words) - 06:21, 30 December 2024
  • ...ated robotics]]. For example, OpenAI and DeepMind trained agents to play [[Atari]] games based on human preferences. In classical RL-based training of such ...
    52 KB (7,655 words) - 03:44, 20 February 2025
  • .....529M |s2cid=205242740}}</ref> The research described an application to [[Atari 2600]] gaming. Other deep reinforcement learning models preceded it.<ref>{{ ...
    138 KB (19,374 words) - 22:31, 20 February 2025
  • ...epMind Technologies]] developed a system capable of learning how to play [[Atari]] video games using only pixels as data input. In 2015 they demonstrated th ...
    180 KB (23,460 words) - 20:17, 27 February 2025