Search Results for "neural game"
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Showing 27 open source projects for "neural game"
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DiffOpt.jl
Differentiating convex optimization programs w.r.t. program parameters
... theory, control theory and machine learning. Recent work has shown how to differentiate specific subclasses of convex optimization problems. But several applications remain unexplored. With the help of automatic differentiation, differentiable optimization can have a significant impact on creating end-to-end differentiable systems to model neural networks, stochastic processes, or a game. -
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A rudimentary 3D computer game that utilises artificial neural networks to enable computer agents to anticipate a target's location and shoot (bullets) in the corresponding direction.
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Euler
A distributed graph deep learning framework.
... for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle. -
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Sudoku Game Solver Generator
Standalone Complete Sudoku puzzle Game Solver Generator for Windows
... on a Deep Neural Network. But I analyzed more than 100 scientific publications on Sudoku generation problem and have reduced the Deep Neural Network to a relatively simple and very elegant deterministic algorithm that works pretty fast. As a result, the app can generate Sudoku fields in 7 difficulty levels from 'Yellow Belt' to 'Sudoku Game Jedi Master'. The application supports Quick Start mode, see features below [QS Step 1] and [QS Step 2] (buttons in an application window). -
SMART by GEP is an AI-powered, unified source-to-pay (S2P) procurement software that brings end-to-end procurement functionality for both direct and indirect spend management into a single, cloud-native platform. It features a range of procurement tools built into one unified procurement system; eliminating the need for separate, stand-alone software, modules, or tools for managing specific functions.
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The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit: http://search.maven.org...
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neurochess
Self chess learning process by artificial neural network
Self chess learning process by artificial neural network white random attribution to of values of chess game, before to pass opposed value to neural network and the desire successor of board with various part of game chess generated with minimax algorithm. -
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Aliza Gaming API
An extensible development framework for roleplay games.
AlizaGameAPI is a robust, open-source Java-based framework designed to streamline and enhance the development of 2D and 3D games. It offers a comprehensive set of tools, utilities, and libraries, empowering developers to create immersive and dynamic gaming experiences with ease. Key Features: Modular Architecture, Rich Graphics and UI Components, Comprehensive Game Logic and Character Management, Environment and World-Building Tools, Statistical and Mathematical Utilities, Enhanced Debugging... -
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HoldemAI
Texas Holdem Poker AI
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. -
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Swarm Wars
Safety in numbers.
REPOSITORY MOVED TO GITHUB: https://github.com/happyjack27/SwarmWars video sample: http://youtu.be/s5mLNbdBQGY A game where you evolve & compete AI swarms. The organisms use swarm intelligence & ant colony optimization. The organisms can communicate through 3-color signaling as well as by laying beacons. They can attack and repair other organisms. They can select mates, and they can gather and distribute food and material. This behavior is controlled by a genetically evolved... -
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An implementation of an artificial neural network (ANN) as an agent to play a 5x5x5 tic-tac-toe game.
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[NOTE: GO TO https://code.google.com/p/cruelhessian/ TO DOWNLOAD THE LATEST VERSIONS] Cruel Hessian is an opensource game engine for Soldat. The main purpose of this project is to implement bots AI based on neural networks. Cruel Hessian is programmed in SFML and OpenGL and should work in Linux, Windows and MacOS X.
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Basic tic tac toe game which uses neural networks to learn moves and play better. The neural networks used in this program are created using neuroph.
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A Neural Network for controlling FRC robots and allowing for advanced forms of artificial intelligence to be utilized.
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Turn-based strategy game for developers/technical experienced users, based on neural networks, algorithmic programming languages and other techniques.
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It's a simpler clone of RoboCode. It's a game which simulates tanks war. The focus is artificial intelligence AI, evolutive algorithms and neural networks. It's implemented in Java.
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DARPA Urban Challenge, a C++ based platform for testing Path Planning Algorithms: An application of Game Theory and Neural Networks. Rubin, Raphael (2007)
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Cerberus is a First Person Shooter Game that incorporates machine learning techniques. The game utilizes Neural Networks to control fighting behavior and Reinforcement Learning to select high level tactics.
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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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NeuroDraughts is a Draughts/Checkers game that teaches itself how to play through self play. It combines an Artificial Neural Network, trained by Temporal Difference Learning using some Genetic Algorithm style behaviour.
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This Projects purpose is to provide a simple Engine to play a basic 2 player Strategy Boardgame. This engine allows you to write computer agents to experiment with AI techniques (minimax, alpha-beta Pruning, neural networks ...)
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Pure Java full-featured multi-player gaming system Pluggable, configurable game engine Distributable, load-balancing, "world engine". flocking, Genetic Algorithms and neural networks 3D clients, ZMUD(tm) clients, regular TELNET access (TCP/UDP
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The Genetic Architecture Framework is intended to explore and experiment with artificial life techniques using a genetic base for the physical and neural networks for the brain, in a game based simulated world.
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Stay plays the ancient game of Go. It uses several advanced techniques to evaluate moves, including Neural Networks, symmetry, and Negascout.
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Neural gas is a one of method for competitive learning. This algorithm can be used for example in Machine vision. We have implemented this algorithm on Cell Broadband Engine.