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Nvidia advertised DLSS as a key feature of the GeForce 20 series cards when they launched in September 2018. [4] At that time, the results were limited to a few video games, namely Battlefield V, [5] or Metro Exodus, because the algorithm had to be trained specifically on each game on which it was applied and the results were usually not as good as simple resolution upscaling.
Pages in category "Data Design Interactive games" The following 20 pages are in this category, out of 20 total. This list may not reflect recent changes. A.
For example, SpeedTree is a middleware package that procedurally generates trees which can be used to quickly populate a forest. [1] Whereas most games use this technique to create a static environment for the final product, some employ procedural generation as a game mechanic , such as to create new environments for the player to explore.
This game was a finalist in the 2010 Indie Game Challenge and its related research paper won the Best Paper Award at the 2009 IEEE Conference on Computational Intelligence and Games. The developers use a form of neuroevolution called cgNEAT to generate new content based on each player's personal preferences. [30]
First person stealth game in the style of the Thief games (1 and 2) using a modified Id Tech 4 engine The Last Eichhof: 1993 2014 Shoot-'em-up "Do whatever your want" license (public domain) [64] Freeware: 2D: Shoot-'em-up game released for DOS in 1993 by Swiss development group Alpha Helix. Source code released in 1995. The Ur-Quan Masters ...
Contains all legal 8-ply positions in the game of connect-4 in which neither player has won yet, and in which the next move is not forced. None. 67,557 Text Classification 1995 [466] J. Tromp Chess (King-Rook vs. King) Dataset Endgame Database for White King and Rook against Black King. None. 28,056 Text Classification 1994 [467] [468] M. Bain ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Simulation video games are a diverse super-category of video games, generally designed to closely simulate real world activities. [1] A simulation game attempts to copy various activities from real life in the form of a game for various purposes such as training, analysis, prediction, or entertainment.