Search Results for "artificial intelligence"

Official site: https://pokerbotai.com/ Poker bot guides: https://pokerbotai.com/knowledge-hub/ Poker Bot AI+ is advanced poker bot software designed for research, strategy training, and decision simulations. The bot continuously analyzes table state in real time, acting as both an AI poker assistant and a full autopilot poker bot depending on your configuration. You can receive live hints from the AI (like RTA‑style advice) or choose automated play under your defined...

Master3D is a famous card came with usually 4 Players, in German also known as "Arschloch" :-.). Despite the funny name, it's a great game with simple rules but a lot of strategic options and fun. This is my first implementaion with 3 different AI-Players and a nice 3D-Interface.

In this project we create a Telegram bot that, once added in a group of players, acts as a master for a game of 'Werewolf'. Using Telegram's features as custom keyboards and private chats it recreates adequately the spirit of the real game. The project is written in Java.

Game Engine and AI framework for playing No Limit Holdem

Full ring Texas Hold'em poker game built around an intelligent AI system. The AI uses players' betting actions to calculate a probability distribution of their hole cards and uses it to evaluate hand strength and the best possible action. Small random changes are made to mimic human behavior and make the AI less predictable. Future versions will include adaptive opponent modeling using neural networks to improve the AI's strength. The AI code can be easily adapted for input from screen scrapers.

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

Famous card game Marias played most in Central Europe. Algorithm for computer opponent is important.

general gambling - an extension to general game playing, providing non-determinism and partially observable information. GameMaster and games. Player is planned.

OOPoker has moved to https://github.com/lvandeve/oopoker Get the latest version of the source code there. It has several bugfixes.

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.

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.

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.

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.

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.

Atlantis Poker is a poker library for creating poker software. The library is being used as the backend foundation for a single player poker game.

Bots Poker Rooms is a Java server enabling poker games between bots. Users can commit their bots, follow their stats, and so on. The front-office is web-based and the back-office is a daemon which makes the bots play together.

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.

A rules enforced play environment for Magic: the gathering tcg and an AI capable of playing magic with decent amount skill and making no play mistakes. (that could be found by a person) while mantaning resonable resource usage. Looking for developers

A gui based man against machine poker (texas hold them) end user application which will deduce and adapt to the player's strategy.