Alternatives and similar repositories for neuroevo

Users that are interested in neuroevo are comparing it to the libraries listed below

• alirezamika / evostra
  A fast Evolution Strategy implementation in Python
  ☆271Updated 5 years ago
• uber-research / PyTorch-NEAT
  ☆561Updated 2 years ago
• crisbodnar / TensorFlow-NEAT
  TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
  ☆121Updated 2 years ago
• ddehueck / pytorch-neat
  A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
  ☆111Updated last year
• Alro10 / awesome-deep-neuroevolution
  A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
  ☆223Updated 4 years ago
• sbcblab / Keras-CoDeepNEAT
  CoDeepNEAT inspired implementation using Keras and Tensorflow as backend.
  ☆38Updated 5 years ago
• flyyufelix / VizDoom-Keras-RL
  Reinforcement Learning in Keras on VizDoom
  ☆142Updated 7 years ago
• mrahtz / ocd-a3c
  TensorFlow implementation of asynchronous advantage actor-critic (A3C)
  ☆39Updated 3 years ago
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆68Updated 6 years ago
• uber-research / EvoGrad
  ☆182Updated last year
• llSourcell / actor_critic
  This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube
  ☆75Updated 7 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆282Updated 2 years ago
• colinskow / move37
  Coding Demos from the School of AI's Move37 Course
  ☆183Updated 6 years ago
• schrum2 / MM-NEAT
  Modular Multiobjective (Hyper) Neuro-Evolution of Augmenting Topologies + MAP-Elites: Java code for evolving intelligent agents in Ms. Pa…
  ☆54Updated 6 months ago
• Anjum48 / rl-examples
  Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
  ☆103Updated 5 years ago
• flyyufelix / C51-DDQN-Keras
  C51-DDQN in Keras
  ☆127Updated 7 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆157Updated 6 years ago
• uber-research / safemutations
  safemutations
  ☆144Updated 7 years ago
• FrancescoSaverioZuppichini / Reinforcement-Learning-Cheat-Sheet
  Reinforcement Learning Cheat Sheet
  ☆157Updated 6 years ago
• rohitgirdhar / Deep-Q-Networks
  Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym
  ☆40Updated 7 years ago
• hengyuan-hu / rainbow
  A PyTorch implementation of Rainbow DQN agent
  ☆170Updated 7 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆377Updated 2 years ago
• MartinThoma / banana-gym
  A simple stochastic OpenAI environment for training RL agents
  ☆88Updated 2 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆575Updated 2 years ago
• LuEE-C / PPO-Keras
  My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
  ☆88Updated 5 years ago
• Shmuma / ptan
  PyTorch Agent Net: reinforcement learning toolkit for pytorch
  ☆547Updated 11 months ago
• hardmaru / WorldModelsExperiments
  World Models Experiments
  ☆663Updated 3 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆251Updated 6 years ago
• modestyachts / ARS
  An implementation of the Augmented Random Search algorithm
  ☆425Updated 4 years ago
• mrahtz / learning-from-human-preferences
  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
  ☆329Updated 3 years ago