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  2. Deep reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Deep_reinforcement_learning

    All 49 games were learned using the same network architecture and with minimal prior knowledge, outperforming competing methods on almost all the games and performing at a level comparable or superior to a professional human game tester. [15] Deep reinforcement learning reached another milestone in 2015 when AlphaGo, [16] a computer program ...

  3. AlphaGo - Wikipedia

    en.wikipedia.org/wiki/AlphaGo

    AlphaGo is a computer program that plays the board game Go. [1] It was developed by the London-based DeepMind Technologies, [2] an acquired subsidiary of Google.Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master. [3]

  4. AlphaGo Zero - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_Zero

    The AI engaged in reinforcement learning, playing against itself until it could anticipate its own moves and how those moves would affect the game's outcome. [10] In the first three days AlphaGo Zero played 4.9 million games against itself in quick succession. [ 11 ]

  5. AlphaZero - Wikipedia

    en.wikipedia.org/wiki/AlphaZero

    AlphaZero is a generic reinforcement learning algorithm – originally devised for the game of go – that achieved superior results within a few hours, searching a thousand times fewer positions, given no domain knowledge except the rules."

  6. List of free PC games - Wikipedia

    en.wikipedia.org/wiki/List_of_free_PC_games

    The following is a list of PC games that have been deemed monetarily free by their creator or copyright holder. This includes free-to-play games, even if they include monetized micro transactions. List

  7. AlphaGo versus Lee Sedol - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol

    AlphaGo is a computer program developed by Google DeepMind to play the board game Go. AlphaGo's algorithm uses a combination of machine learning and tree search techniques, combined with extensive training, both from human and computer play. The system's neural networks were initially bootstrapped from human game-play expertise.

  8. Leela Chess Zero - Wikipedia

    en.wikipedia.org/wiki/Leela_Chess_Zero

    In order to contribute training games, volunteers must download the latest non-release candidate (non-rc) version of the engine and the client. The client connects to the Leela Chess Zero server and iteratively receives the latest neural network version and produces self-play games which are sent back to the server and use to train the network ...

  9. Montezuma's Revenge (video game) - Wikipedia

    en.wikipedia.org/wiki/Montezuma's_Revenge_(video...

    Montezuma's Revenge is a platform game for the Atari 8-bit computers, Atari 2600, Atari 5200, Apple II, ColecoVision, Commodore 64, IBM PC (as a self-booting disk), and ZX Spectrum (as Panama Joe). It was designed and programmed by Robert Jaeger and published by Parker Brothers in 1984.