Search Results for "neural game"

... 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.

... 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.

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...

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.

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...

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...

An implementation of an artificial neural network (ANN) as an agent to play a 5x5x5 tic-tac-toe game.

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.

Turn-based strategy game for developers/technical experienced users, based on neural networks, algorithmic programming languages and other techniques.

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.

2-player (human-computer) donkey game using simple AI (without neural n/ws)

DARPA Urban Challenge, a C++ based platform for testing Path Planning Algorithms: An application of Game Theory and Neural Networks. Rubin, Raphael (2007)

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.

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.

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

VelbazhdGo is BOINC distributed computing project for training Artificial Neural Networks (ANN), by using Genetic Algorithms (GA), to play the popular game Go.