3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in video-games
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Use these libraries to find video-games models and implementations
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It is demonstrated that stress and concentration levels for professional players are less correlated, meaning more independent playstyle, and that the absence of team communication does not affect the professional players as much as amateur ones.
A crucial part of the vision pipeline of the LeagueAI framework, the dataset generation, is presented in this report, which involves extracting image raw data from the game's 3D models and combining them with the game background to create game-like synthetic images and to generate the corresponding labels automatically.
This work presents the first data set of League of Legends livestreams, annotated for both streamer affect and game context, and proposes a method that exploits tensor decompositions for high-order fusion of multimodal representations.
A novel hierarchical model which recommends characters by considering each player’s champion preferences and the interaction between the players is proposed, which achieved state-of-the-art performance in character recommendation and match outcome prediction task.
Adding a benchmark result helps the community track progress.