The proceedings contain 14 papers. The special focus in this conference is on Advances in computer Games. The topics include: Implicit QBF Encodings for Positional Games;Making Superhuman AI More Human in Ch...
ISBN:
(纸本)9783031549670
The proceedings contain 14 papers. The special focus in this conference is on Advances in computer Games. The topics include: Implicit QBF Encodings for Positional Games;Making Superhuman AI More Human in Chess;solving NoGo on Small Rectangular Boards;analysis of a Collatz Game and Other Variants of the 3n+1 Problem;quantifying Feature Importance of Games and Strategies via Shapley Values;preface;stockfish or Leela Chess Zero? A Comparison Against Endgame Tablebases;hades Again and Again: A Study on Frustration Tolerance, Physiology and Player Experience;optimal Play of the Great Rolled Ones Game;the Impact of Wind Simulation on Perceived Realism of Players;can We Infer Move Sequences in Go from Stone Arrangements?;MCTS with Dynamic Depth Minimax.
Light field imaging presents a promising avenue for advancing salient object detection (SOD). However, existing light field SOD (LFSOD) methods grapple with challenges related to effectively aggregating features from ...
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Visual-Question-Answering (VQA) requires answering questions corresponding to visual information. Although pre-trained Vision-language models (VLMs) have obtained potential results on various VQA benchmarks, they show...
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Recommendation systems are extensively utilized across diverse domains with the aim of suggesting the most appropriate items to individual users. An effective recommendation engine provides valuable guidance for daily...
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Spin torque oscillators (STOs) feature transient non-linear behaviour that can be exploited for computation. When combined in arrays, they can be networked to produce more complex collective behaviours than single dev...
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Nowadays global shifts in supply networks state the problem of building of new mathematical models to analyze medium-term macroeconomic risks of local economies in view of important economic restrictions and substitut...
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With the rapid development of Intelligent Transportation Systems (ITS), how to accurately obtain traffic data predictions has become a key challenge. In recent years, many neural networks with complex structures have ...
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In this diverse world, language barriers pose significant challenges in sectors such as tourism and medicine, affecting the efficiency in communication and information availability. In context of tourism, diverse ling...
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Graph Convolution Network (GCN) is a potent deep learning methodology and GCN-based graph data augmentation methods excel in recommender systems. The augmented data, as the higher-order collaborative signals, is gener...
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Modern model checking tools like UPPAAL Stratego provide a rich framework for modeling cyber-physical systems involving non-determinism as well as time, stochastic and continuous state descriptors. A key obj...
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