Alternatives and similar repositories for evolution-strategies:

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

• R-McHenry / ParallelizedGoExplore
  A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post
  ☆46Updated 6 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• uber-research / Evolvability-ES
  ☆14Updated 5 years ago
• goktug97 / PEPG-ES
  Python Implementation of Parameter-exploring Policy Gradients Evolution Strategy
  ☆16Updated 4 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆50Updated 4 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 3 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆15Updated 6 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆28Updated 2 years ago
• karush17 / Evolution-Strategies-PyTorch
  Implementation of OpenAI's Evolution Strategies in PyTorch.
  ☆20Updated 4 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 4 years ago
• A-make / NES
  OpenAI gym agents learning using Natural Evolution Strategies (NES)
  ☆10Updated 4 years ago
• soumik12345 / DDPG
  Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
  ☆26Updated 2 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 4 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• BY571 / Randomized-Ensembled-Double-Q-learning-REDQ-
  Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)
  ☆21Updated 3 years ago
• cxxgtxy / deeprl-baselines
  Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…
  ☆36Updated 6 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆39Updated 5 months ago
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆19Updated 2 years ago
• liangzai951 / super-brain-weight-agnostic-neural-networks-1
  Weight Agnostic Neural Networks (in Python)
  ☆17Updated 5 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 6 months ago
• goktug97 / nes-torch
  Minimal PyTorch Library for Natural Evolution Strategies
  ☆17Updated 3 years ago
• timoklein / alphazero-gym
  AlphaZero for continuous control tasks
  ☆23Updated 2 years ago
• ml-jku / align-rudder
  Code to reproduce results on toy tasks and companion blog for the paper.
  ☆20Updated 2 years ago
• LinZichuan / AdMRL
  Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
  ☆34Updated 3 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆45Updated 4 years ago
• ravi-lanka-4 / CoPiEr
  Co-training for Policy Learning
  ☆13Updated 5 years ago
• txzhao / rl-zoo
  PyTorch implementation of various reinforcement learning algorithms
  ☆18Updated 6 years ago
• cgnicholls / rlpoker
  Reinforcement learning algorithms to play Poker
  ☆15Updated 3 years ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆32Updated this week
• automl / learning_environments
  We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.
  ☆21Updated last year