Alternatives and similar repositories for evolution-strategies

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

• flxsosa / DeepHyperNEAT
  A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…
  ☆76Updated 3 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 5 years ago
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆69Updated 7 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆78Updated 5 years ago
• gomerudo / nas-env
  A simple OpenAI Gym environment for Neural Architecture Search (NAS)
  ☆31Updated 5 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆29Updated 3 years ago
• jjakimoto / PPO-Pytorch
  Deep RL for portfolio management
  ☆13Updated 7 years ago
• uber-research / Evolvability-ES
  ☆14Updated 6 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆58Updated 5 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 5 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 8 years ago
• haron1100 / Upside-Down-Reinforcement-Learning
  Implementation of Schmidhuber's Upside Down Reinforcement Learning paper in PyTorch
  ☆27Updated 6 years ago
• intel / cerl
  ☆71Updated 3 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 3 years ago
• goktug97 / PEPG-ES
  Python Implementation of Parameter-exploring Policy Gradients Evolution Strategy
  ☆17Updated 5 years ago
• WenchenLi / q-learning-trader
  tabular q learning for trading
  ☆12Updated 7 years ago
• MasterScrat / rl-insights
  🤖 Reinforcement Learning paper summaries, notebooks, and articles.
  ☆26Updated 5 years ago
• karush17 / esac
  Evolution-based Soft Actor-Critic (ESAC)
  ☆42Updated last year
• 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
• AI4Finance-Foundation / FinRL_Imitation_Learning
  ☆23Updated last year
• sebjai / robust-risk-aware-rl
  Some implementations from the paper robust risk aware reinforcement learning
  ☆36Updated 4 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆96Updated 5 years ago
• strongio / evolutionary-optimization
  A collection of black-box optimizers with a focus on evolutionary algorithms
  ☆28Updated 5 years ago
• Alro10 / awesome-deep-neuroevolution
  A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
  ☆225Updated 4 years ago
• cxxgtxy / deeprl-baselines
  Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…
  ☆35Updated 7 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 4 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆59Updated last year
• mabirck / AttentionTRL
  Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
  ☆10Updated 8 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆18Updated 7 years ago
• goktug97 / nes-torch
  Minimal PyTorch Library for Natural Evolution Strategies
  ☆18Updated 4 years ago