Essays about: "ai chess"
Showing result 1 - 5 of 10 essays containing the words ai chess.
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1. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. READ MORE
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2. Evaluating the performance of a team consisting of an advanced agent and a less advanced agent in the game Manille : A comparison of agents trained using the CFR algorithm with and without abstractions.
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Making artificial intelligence (AI) algorithms solve games has always been an interesting benchmark of AI research. Perfect information games like Chess can be played on a level beyond human capabilities. READ MORE
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3. Playing the Fox Game With Tree Search: MCTS vs. Alpha-Beta
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The forefront of game playing Artificial Intelligence (AI) has for the better part of 21st century been using an algorithm called Alpha-Beta Pruning (Alpha-Beta). In 2017, DeepMind launched a new AI, based on the algorithm Monte Carlo Tree Search (MCTS), which defeated the former Alpha-Beta based chess AI champion Stockfish. READ MORE
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4. Beating Humans at their own Game
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Creating an artificial intelligence that can play games such as chess against humans has become a popular subject of research with it’s roots in the 1950’s. Over the following 70 years, strategies and algorithms evolved to the point where the average computer using the state of the art chess AI easily beats the best humans players. READ MORE
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5. Gate Recurrent Unit Neural Networks for Hearing Instruments
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Gated Recurrent Unit (GRU) neural networks have gained popularity for applications such as keyword spotting, speech recognition and other artificial intelligence applications. Typically for most applications training and inference is performed on cloud servers, and the result are transferred to the power constrained device, e.g. READ MORE