schrum2 / MM-NEAT

Related projects ⓘ

Alternatives and complementary repositories for MM-NEAT

• sash-a / CoDeepNEAT
  An implementation of CoDeepNEAT using pytorch with extensions
  ☆30Updated 3 years ago
• DanieleGravina / divergence-and-quality-diversity
  A collection of papers on divergence and quality diversity
  ☆75Updated 2 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆49Updated 4 years ago
• travisdesell / exact
  EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM
  ☆55Updated 3 months ago
• crisbodnar / TensorFlow-NEAT
  TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
  ☆120Updated last year
• simondlevy / neat-gym
  Neuro-evolution for OpenAI Gym environments
  ☆56Updated 3 years ago
• flxsosa / DeepHyperNEAT
  A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…
  ☆71Updated 2 years ago
• sebastianrisi / ga-world-models
  ☆20Updated 5 years ago
• resibots / pymap_elites
  map elites python reference implementation
  ☆77Updated last year
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆66Updated 5 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• mhauskn / HyperNEAT
  The original implementation of HyperNEAT in C++
  ☆28Updated 8 years ago
• angusfung / population-based-training
  Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.
  ☆56Updated 6 years ago
• ukuleleplayer / pureples
  Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
  ☆114Updated 10 months ago
• quality-diversity / quality-diversity.github.io
  Website for Quality-Diversity optimisation algorithms
  ☆42Updated 2 months ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 3 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 6 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆70Updated 3 years ago
• uber-research / safemutations
  safemutations
  ☆144Updated 6 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆81Updated 3 years ago
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 4 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆76Updated 5 years ago
• sbcblab / Keras-CoDeepNEAT
  CoDeepNEAT inspired implementation using Keras and Tensorflow as backend.
  ☆37Updated 4 years ago
• intel / cerl
  ☆72Updated last year
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 2 years ago
• wulfebw / muzero
  A python implemenation of tabular MuZero for educational purposes
  ☆21Updated 4 years ago
• koulanurag / mmn
  Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
  ☆48Updated last year
• flyyufelix / sonic_contest
  Source code for OpenAI Retro Contest for Sonic the Hedgehog
  ☆30Updated 6 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆26Updated 2 years ago
• lusob / gym-ple
  This package allows to use PLE as a gym environment.
  ☆72Updated 4 years ago