270 Open source projects that are alternatives of or similar to Super Mario Neat

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

DrQ: Data regularized Q

Starter Bot for Codingame's Coders Strike Back AI Challenge (Simulation Engine + Random Search)

🦄 An Artificial Inteligence to teach Google's Dinosaur to jump cactus

Code for Tensorflow Machine Learning Cookbook

Use a genetic algorithm to evolve an image by putting emojies on a canvas

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

A Genetic Algorithm Framework in Python

No longer maintained, actually usable implementation of NEAT

Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149

training snake game using neural network and genetic algorithm

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Self driving cars using NEAT

A blazing fast parameters optimiser by genetic algorithm

Statistical Machine Intelligence & Learning Engine

Simulation of life & evolution

Reinforcement Learning Algorithms

Reinforcement learning in haskell

🎯 A comprehensive gradient-free optimization framework written in Python

A collection of multi-agent reinforcement learning OpenAI gym environments

Neural agents learn to play in an agario-like environment with Neataptic

Job Shop Scheduling Solver using Genetic Algorithyms

A simple factor network implementation written by JavaScript

Evolutionary algorithms library for the web 🧬

Analizador de tráfico para dispositivos Android potencialmente comprometidos como parte de una botnet orientado a detectar ataques DDoS.

Genetic Algorithm and Particle Swarm Optimization

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Feature extraction algorithm for genomic data

Solved using AI techniques: Savings, Sweep, Genetic Algorithm, Google OR Tools

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Environment that can be used to evaluate reasoning capabilities of artificial agents

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Train PyTorch Models using the Genetic Algorithm with PyGAD

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

An R package for optimization using genetic algorithms

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Gym Management System provides an easy to use interface for the users and a database for the admin to maintain the records of gym members.

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Training (hopefully) safe agents in gridworlds

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

An interactive ecosystem and evolution simulator written in C and OpenGL, for GNU/Linux.

A class scheduler using adaptive-elitist genetic algorithm.

simple neural network library in ANSI C

Project about minimizing costs in garbage collection in Montevideo, Uruguay, using Evolutionary Algorithms

Simple A3C implementation with pytorch + multiprocessing

Python implementation of the NEAT neuroevolution algorithm

R package for solving three-dimensional bin packing problem

Play games without touching keyboard

A genetic algorithm implementation in python

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

In the coming weeks this plans to become a Gekko plugin that reacts to market changes, finding and running only the most profitable strategies.

Simple genetic algorithms in Go

Workout-Tracking app built in ES6 using react, flux and ImmutableJS

JavaScript Digital Organisms simulator

Structural implementation of RL key algorithms

A genetic algorithm to solve the Travelling Salesman Problem, implemented in Python. Made by Jack Frigaard, modified by Mauricio Aizaga

Genetic Algorithms, Mutation, Crossover, Mating, Particle Animation, Gaming, Learning, P5JS, Fun Project

Automated Line Fitting Algorithm