529 Open source projects that are alternatives of or similar to Super-Meta-MarIO

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

No longer maintained, actually usable implementation of NEAT

A project on improving Neural Networks performance by using Genetic Algorithms.

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

Solving Knapsack 0/1 problem with various Local Search algorithms like Hill Climbing, Genetic Algorithms, Simulated Annealing, Tabu Search

Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

A NSGA-II implementation in Julia

Advanced .NET math library (.NET Standard).

Revisiting Rainbow

Reinforcement Learning for Super Mario Bros using A3C on GPU

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

An AI to teach Google Chrome's dinosaur to jump obstacles.

3D RL Volleyball environment built on Unity ML-Agents

This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask…

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

An evolutionary computation framework

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

Combining deep learning and reinforcement learning.

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

No description or website provided.

Ape-X DQN & DDPG with pytorch & tensorboard

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Simple Super Mario in Allegro C++ & The Final Project of Course Advanced Programming

Take Paper Mario 64, buff old and new enemies to absurd levels, then rebalance Mario's overpowered strategies, and you've got one of the most difficult hacks of all time: Paper Mario Master Quest. The Discord:

A Super Mario portfolio homepage that you can play with.

Finding an optimal Blackjack strategy using AI

A Universal Deep Reinforcement Learning Framework

Genetic algorithm for walking simulation. Online demo: https://rossning92.github.io/genetic-algorithm/

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Reinforcement Learning algorithm's using google-colab

JAX implementations of core Deep RL algorithms

SeqGAN but with more bells and whistles

基于人工智能（遗传算法 + 贪心 max-rect 算法） 的矩形拼接算法

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

MOSES Machine Learning: Meta-Optimizing Semantic Evolutionary Search. See also AS-MOSES https://github.com/opencog/asmoses but kept to guaranty backward compatibility.

A styled-components implementation of Thoughtbot's Neat

☔ Deep RL agents with PyTorch☔

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

The remake of Super Mario Bros (1985) made with C++ and SDL2 library.

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

A web application that generates timetables for university students at the University of Toronto

Oiram is a Mario platformer clone

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Functional Reinforcement Learning in Scala.