Finding an optimal Blackjack strategy using AI
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Updated
Jan 5, 2022 - C#
Finding an optimal Blackjack strategy using AI
An ecologically inspired multi-agent system. Agents are designed with neural network based decision making, and complex resource requirements.
A simple simulation in Unity, which uses genetic algorithm to optimize forces applied to cubes
Genetic Programming Engine designed for .NET
Simulation of life like characters and several learning algorithms to test the ability of each algorithm to enable the characters reaching global maximum with minimum effort
Sorting and other algorithm. Implementation in C#
GIANT is an open-source project that provides a flexible architecture for training intelligent agents using various machine learning techniques in diverse simulation environments.
AI-powered full autonomous differential vehicled floor cleaning robot project main repository
An implementation and evaluation of biologically inspired techniques in game level generation. Honours project for the Games Development course.
A unity3d tool which designs dungeon maps based on a level designer's preferences
Geospiza is a project focusing on evolutionary design in grasshopper
.Net port of Jenetics - Java Genetic Algorithm Library
A Genetic Algorithm Framework build for comparing evolutionary and genetic algorithms for the Travelling Salesman Problem and the Cutting Stock Problem
A .NET (Core)-based implementation of the Differential Evolution optimization heuristic with multi-objective extensions. The implementation is based on a generalized Evolutionary Algorithm framework, which is included in this repository.
Maze solving using genetic programming in C#
Feasible-Infeasible MAP-Elites applied to room-based level generation
Unity project using genetic algorithms 🧬
Evolutionary algorithms based game project.
Introducing a lightweight and specialized neural network library for C#, meticulously designed to complement evolutionary algorithms.
evolution algorithm written in C#, visualized by Godot game engine
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