Alternatives and similar repositories for MM-NEAT

Users that are interested in MM-NEAT are comparing it to the libraries listed below

• DanieleGravina / divergence-and-quality-diversity
  A collection of papers on divergence and quality diversity
  ☆78Updated 3 years ago
• crisbodnar / TensorFlow-NEAT
  TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
  ☆121Updated 2 years ago
• ukuleleplayer / pureples
  Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
  ☆117Updated last year
• flxsosa / DeepHyperNEAT
  A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…
  ☆74Updated 3 years ago
• uber-research / PyTorch-NEAT
  ☆561Updated 2 years ago
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆68Updated 6 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆57Updated 5 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆71Updated 4 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• simondlevy / neat-gym
  Neuro-evolution for OpenAI Gym environments
  ☆59Updated 4 years ago
• travisdesell / exact
  The Evolutionary eXploration of Neural Networks Framework -- EXAMM, EXA-GP and EXACT
  ☆61Updated this week
• tambetm / gym-minecraft
  Minecraft environment for Open AI Gym, based on Microsoft's Malmo.
  ☆284Updated 4 years ago
• alirezamika / evostra
  A fast Evolution Strategy implementation in Python
  ☆271Updated 5 years ago
• angusfung / population-based-training
  Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.
  ☆55Updated 7 years ago
• ddehueck / pytorch-neat
  A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
  ☆114Updated last year
• resibots / pymap_elites
  map elites python reference implementation
  ☆96Updated 2 years ago
• rubenrtorrado / GVGAI_GYM
  ☆107Updated 5 years ago
• uber-research / poet
  Paired Open-Ended Trailblazer (POET) and Enhanced POET
  ☆255Updated 3 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆118Updated 5 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆81Updated 4 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆157Updated 6 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆54Updated 5 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆29Updated 3 years ago
• crowdAI / marLo
  Multi Agent Reinforcement Learning using MalmÖ
  ☆263Updated 5 years ago
• uber-research / EvoGrad
  ☆182Updated last year
• icaros-usc / pyribs
  A bare-bones Python library for quality diversity optimization.
  ☆243Updated this week
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆254Updated 6 years ago
• MartinThoma / banana-gym
  A simple stochastic OpenAI environment for training RL agents
  ☆88Updated 2 years ago
• dylandjian / retro-contest-sonic
  World Models applied to the Open AI Sonic Retro Contest
  ☆77Updated 7 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 5 years ago