Alternatives and similar repositories for MAP-Elites

Users that are interested in MAP-Elites 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
• sebastianrisi / ga-world-models
  ☆20Updated 6 years ago
• resibots / pymap_elites
  map elites python reference implementation
  ☆96Updated 2 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
• simondlevy / neat-gym
  Neuro-evolution for OpenAI Gym environments
  ☆59Updated 4 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• quality-diversity / quality-diversity.github.io
  Website for Quality-Diversity optimisation algorithms
  ☆49Updated 5 months ago
• rasmusbergpalm / evostrat
  A library that makes Evolutionary Strategies (ES) simple to use.
  ☆180Updated 4 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 5 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 2 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• ivy-llc / gym
  Fully differentiable RL environments, written in Ivy.
  ☆65Updated 2 years ago
• icaros-usc / dqd
  A python implementation of differentiable quality diversity.
  ☆50Updated 4 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆64Updated 2 years ago
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 5 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆118Updated 5 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆96Updated 7 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆90Updated 6 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆54Updated 5 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• siemens / industrialbenchmark
  Industrial Benchmark
  ☆139Updated 2 years ago
• icaros-usc / pyribs
  A bare-bones Python library for quality diversity optimization.
  ☆243Updated this week
• uber-research / EvoGrad
  ☆182Updated last year
• angusfung / population-based-training
  Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.
  ☆55Updated 7 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆59Updated last year
• voiler / PopulationBasedTraining
  A simple PyTorch implementation of Population Based Training of Neural Networks.
  ☆63Updated 6 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆68Updated 6 years ago