Search Results for "artificial intelligence projects in java"
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Showing 8 open source projects for "artificial intelligence projects in java"
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This project hosts the files necessary to setup the Strathclyde Poker Research Environment system, as described in "SPREE : The Strathclyde Poker Research Environment" in Proceedings of the AISB AI & Games Symposium 2011
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This is a FreeCell solitaire game solver written in the Java. It is fast and capable - it solves all of the first million Microsoft deals in about 4 hours - 99.99% of them in less than a second, and no deal takes more than 1 minute.
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This is a computer client for an original CCG game "Boomb.It!" (see www.shadem.ru). It allows to play the game without an opponent (AI developing), and it is able to play as p2p client over the Internet through the build-in jabber client.
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RL Poker is a study project Java implementation of an e-soft on-policy Monte Carlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neural network and backpropagation. It provides a graphical interface to monitor game rounds.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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An open simulation of the casino game "let it ride" written in Java. Runs AI agents that play the came and statistically tracks their success. Also has a command-line interface for playing the game.
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JGames is a sort of "game development framework" that creates a solid general structure for all Board Games, Strategy Games and all these game, 2D and 3D, that can be specified defining its particular Rules.
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The goal of the CSPoker project is to develop Poker software and experiment with Artificial Intelligence for Poker. A Texas Hold'Em server written in Java and client software in JavaFX have already been developed.
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A gui based man against machine poker (texas hold them) end user application which will deduce and adapt to the player's strategy.
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