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Hittade 5 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Exploring the effects of state-action space complexity on training time for AlphaZero agents

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Tobias Glimmerfors; [2022]
    Nyckelord :Deep learning; Reinforcement learning; AlphaZero; Monte-Carlo tree search; Environment complexity; Djupinlärning; Förstärkande inlärning; AlphaZero; Monte-Carlo tree search; spelkomplexitet;

    Sammanfattning : DeepMind’s development of AlphaGo took the world by storm in 2016 when it became the first computer program to defeat a world champion at the game of Go. Through further development, DeepMind showed that the underlying algorithm could be made more general, and applied to a large set of problems. LÄS MER

  3. 2. Ready Steady GO — How a Computer Playing a Board Game May Have Spurred on China’s AI Frenzy

    Kandidat-uppsats, Göteborgs universitet/Institutionen för språk och litteraturer

    Författare :Elias Sköld; [2021-06-08]
    Nyckelord :kinesiska; dataprogram; AlphaGo; brädspel; Go; artificiell intelligens;

    Sammanfattning : Denna uppsats undersöker i vilken utsträckning AlphaGo, ett dataprogram som med hjälp av artificiell intelligens spelar brädspelet Go, har påverkat den kinesiska ledningens strategiska och politiska beslut. Utöver att granska femårsplaner, årliga budgetar och andra officiella dokument och offentliga uttalanden, analyseras även AlphaGos inflytande på den kinesiska försvarsmakten. LÄS MER

  4. 3. Bluffing AI in Strategy Board Game

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Johan Leijonhufvud; Albin Henriksson; [2021]
    Nyckelord :Strategy game; Stratego bot; Tactical AI; Counterfactual regret minimization; Chance sampling;

    Sammanfattning : Games have been a field of interest for researchin artificial intelligence for decades. As of now, it is over 5years ago an AI for the strategy game Go, AlphaGo, beat worldchampion Lee Sedol 4-1, which was considered to be an enormousmilestone for AI. LÄS MER

  5. 4. A Hardware Accelerated Low Power DSP for Recurrent Neural Networks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Allan Andersen; Ilayda Yaman; [2020]
    Nyckelord :Digital Signal Processor; Hardware Accelerator; Machine Learning; Deep Learning; Recurrent Neural Networks; Gated Recurrent Unit; Technology and Engineering;

    Sammanfattning : Recurrent neural networks (RNNs) have become a dominating player for processing of sequential data such as speech and audio. The reason for this, is the high accuracy that can be achieved with the more complex variants, such as the gated recurrent unit (GRU). LÄS MER

  7. 5. Deep reinforcement learning i distribuerad optimering

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Marcus Lindström; Jahangir Jazayeri; [2018]
    Nyckelord :;

    Sammanfattning : Reinforcement learning has recently become a promising area of machine learning with significant achievements in the subject. Recent successes include surpassing human experts on Atari games and also AlphaGo becoming the first computer ranked on the highest professional level in the game Go, to mention a few. LÄS MER