Code for the paper "Evolved Policy Gradients"

A tool for developing reinforcement learning algorithms focused in stock prediction

Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture

Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies

[WIP] Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.

Нейронная сеть оптимизируемая с помощью генетического алгоритма. Задача агента контролируемого при помощи нейронной сети состоит в том, чтобы избегать контакта с противниками, как можно более длительное время.

Tiny Genetic Algorithm in Python.

parameter optimization of a reinforcement learning deep Q network with memory replay buffer using genetic algorithm in the snake game. base code for snake env from codecamp

First assignment for Evolutionary Computing class at @Vrije-Universiteit-Amsterdam

Solutions to OpenAI-Gym environments.

A multi agent re-enforcement learning environment for many on many bot fights between space ships

This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"

Atari AI Agents powered by Natural Evolution Strategies

Experiments with Guided Evolutionary Strategies for Behavioral Robotics course project at Innopolis Univeristy

Projekt na przedmiot Algorytmy Genetyczne

Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.

Various studies show that criticality is an attractor in biological evolution. Which conditions have to be fulfilled, such that criticality acts as an attractor in our neuroevolution simulation? -- Masters Thesis Project ---

Paper: https://doi.org/10.1162/isal_a_00412 Which dynamical regime is beneficial for biological systems? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability.

https://www.researchgate.net/publication/350344034_Sequence-based_model_of_cumulative_cultural_evolution Evolutionary Algorithm based on Cumulative Cultural Evolution. Uses a mix of gradient descent - individual learning - and inheritance - copying - that selection acts upon. Serves as sequene-based model of cumulative cultural evolution - Focus…

High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters