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agario-ai

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

applying_eanns

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

conversation_dynamics

SFI Complex System Summer School project

converstation-dynamics

Santa Fe CSSS18 Group Project on Converstation Dynamics

critterevolution

This is an evolutionary game where the brains of critters get smarter over time. The critters live, mate, eat, hunt, scavenge, sleep, and die.

deepevolve

Rapid hyperparameter discovery for neural nets using genetic algorithms

dissecting-reinforcement-learning

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

dose

Digital Organism Simulation Environment (DOSE)

evobotgame

evolution-strategies-starter

Starter code for Evolution Strategies

evolutionary-algorithm

Evolutionary Algorithm using Python

evostra

A fast Evolution Strategy implementation in Python

genetic-cnn

CNN architecture exploration using Genetic Algorithm

geneticalgorithmswithpython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-super-mario-bros

An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES

hebbiancnn

Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)

hebbianlearning

Pytorch implementation of Bottom-up Deep Learning using the Hebbian Principle (Wadhwa & Madhow)

intelligent-control-techniques-for-robots

An analysis of different intelligent control techniques (evolutionary alg., reinf. learn., neural networks) applied to robotic manipulators.

irl-imitation

Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

ml-agents

Unity Machine Learning Agents Toolkit

ml-in-tf

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

models

Models and examples built with TensorFlow

multiagent-competition

Repository for competitive multi-agent environments

multiagent-particle-envs

nascell-automl

neataptic

:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js

neural-network-genetic-algorithm

Evolving a neural network with a genetic algorithm.

peas

Python Evolutionary Algorithms. Contains implementations of NEAT and HyperNEAT.