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An alternative efficient chessboard representation based on 4-bit piece coding
Published 2012-01-01Subjects: Get full text
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Deep learning and computer chess (part 1)
Published 2020“…The Chess Engine was implemented in Java language, as well as the MCTS algorithm.…”
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Final Year Project (FYP) -
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Chess Position Evaluation Using Radial Basis Function Neural Networks
Published 2023-01-01“…Such an approach offers the benefit of having an estimation for the position evaluation in a matter of milliseconds, while the time needed by a chess engine may be several orders of magnitude longer. …”
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Deep learning and computer chess (part 2)
Published 2020“…The implemented methods proved to be a promising step in the right direction in developing a MCTS chess engine that can rival and potentially outperform chess engines that use deterministic algorithms with further development.…”
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Final Year Project (FYP) -
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Deep learning and computer chess: Giraffe
Published 2024“…It focuses on building a deep-learning chess engine, Giraffe, which is the first-ever neural network model to evaluate positions by exploring the application of neural network techniques in evaluating chess positions, digging into the network architecture, and training methodologies using extensive game datasets. …”
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Final Year Project (FYP) -
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Deep learning and computer chess (part 2)
Published 2022“…This goal of this project was to develop enhancements to improve the effectiveness of MCTS-based chess engines. For that purpose, a chess engine running on the basic MCTS algorithm was built and used as the base engine. …”
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Final Year Project (FYP) -
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Deep learning in computer chess
Published 2023“…This report demonstrates a statistic chess position evaluation of a chess engine using two differ- ent neural network architectures. …”
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Final Year Project (FYP) -
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Design and Implementation of a Computer Vision System for an Autonomous Chess-Playing Robot
Published 2018-04-01“…The system is based on an industrial-grade robot manipulator, a computer vision system, and an open source chess engine. Classification algorithms were implemented in order to detect whether a given chessboard square is occupied, and in that case, if the piece is black or white. …”
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Deep learning and computer chess
Published 2022“…We collected different chess game played by grandmaster, then used the evaluation function of stockfish [5], one of the strongest existing chess engines, to get the score of the positions and label it accordingly. …”
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Final Year Project (FYP) -
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Deep learning and computer chess (part 1)
Published 2020“…We then used the evaluation function of stockfish, one of the strongest existing chess engines, to label the games. We extracted the positions from the games using Forsyth-Edwards notation and stored them in 2 different files which are later used for training the model after preprocessing the data. …”
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Final Year Project (FYP) -
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Chess AI: Competing Paradigms for Machine Intelligence
Published 2022-04-01“…Two of the leading chess engines, Stockfish and Leela Chess Zero (LCZero), employ significantly different methods during play. …”
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