Alternatives and similar repositories for evolution-strategies

Users that are interested in evolution-strategies are comparing it to the libraries listed below

• goktug97 / PEPG-ES
  Python Implementation of Parameter-exploring Policy Gradients Evolution Strategy
  ☆16Updated 5 years ago
• aaronsnoswell / irl_methods
  High-quality reference implementations of various algorithms for Inverse Reinforcement Learning
  ☆12Updated 7 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 4 years ago
• kevin-hanselman / grid-world-rl
  Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
  ☆29Updated last year
• karush17 / Evolution-Strategies-PyTorch
  Implementation of OpenAI's Evolution Strategies in PyTorch.
  ☆20Updated 5 years ago
• IDSIA / GoGePo
  Official repository for the paper "Goal-Conditioned Generators of Deep Policies"
  ☆11Updated last month
• R-McHenry / ParallelizedGoExplore
  A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post
  ☆46Updated 6 years ago
• goktug97 / nes-torch
  Minimal PyTorch Library for Natural Evolution Strategies
  ☆17Updated 3 years ago
• uidilr / bayesian_irl
  Bayesian Inverse Reinforcement Learning with simple environments
  ☆20Updated 3 years ago
• automl / learning_environments
  We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.
  ☆21Updated 2 years ago
• uber-research / Evolvability-ES
  ☆14Updated 6 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆28Updated 3 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆53Updated 4 years ago
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆13Updated 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…
  ☆72Updated 3 years ago
• WenchenLi / q-learning-trader
  tabular q learning for trading
  ☆12Updated 6 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 8 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 5 years ago
• distillpub / post--understanding-rl-vision
  Understanding RL vision Distill article
  ☆23Updated 2 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 2 years ago
• WorldEditors / EvolvingPlasticANN
  Codes for Evolving Plastic ANNs
  ☆13Updated 2 years ago
• liangzai951 / super-brain-weight-agnostic-neural-networks-1
  Weight Agnostic Neural Networks (in Python)
  ☆18Updated 6 years ago
• chanshing / xnes
  Implementation of "Exponential Natural Evolution Strategies" (xNES) https://arxiv.org/abs/1106.4487
  ☆19Updated 5 years ago
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆67Updated 6 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• staturecrane / PyTorch-ES
  Evolutionary Strategies for PyTorch
  ☆23Updated 6 years ago
• A-make / NES
  OpenAI gym agents learning using Natural Evolution Strategies (NES)
  ☆10Updated 4 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 4 years ago
• SuReLI / dyna-gym
  This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.
  ☆32Updated 6 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆16Updated 7 years ago