Alternatives and similar repositories for EvoGrad

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

• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆272Updated 2 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆190Updated 3 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆377Updated 2 years ago
• rasmusbergpalm / evostrat
  A library that makes Evolutionary Strategies (ES) simple to use.
  ☆180Updated 4 years ago
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆280Updated 2 years ago
• uber-research / poet
  Paired Open-Ended Trailblazer (POET) and Enhanced POET
  ☆254Updated 3 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• microsoft / coax
  This project was moved to: https://github.com/coax-dev/coax
  ☆160Updated 2 years ago
• learnables / cherry
  A PyTorch Library for Reinforcement Learning Research
  ☆199Updated 4 months ago
• uber-research / atari-model-zoo
  A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…
  ☆202Updated 5 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆104Updated 6 years ago
• opherlieber / rltime
  RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features
  ☆141Updated 6 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 5 years ago
• uber-research / PyTorch-NEAT
  ☆560Updated 2 years ago
• google-deepmind / symplectic-gradient-adjustment
  A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
  ☆153Updated 6 years ago
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆207Updated 4 years ago
• Cohere-Labs-Community / rl
  Generic reinforcement learning codebase in TensorFlow
  ☆95Updated 4 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆118Updated 5 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 6 years ago
• kashif / firedup
  Clone of OpenAI's Spinning Up in PyTorch
  ☆152Updated 3 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 5 years ago
• icaros-usc / pyribs
  A bare-bones Python library for quality diversity optimization.
  ☆243Updated last month
• uvm-neurobotics-lab / ANML
  A Neuromodulated Meta-Learning algorithm
  ☆117Updated 5 years ago
• facebookresearch / rlstructures
  RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…
  ☆261Updated 2 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆113Updated 5 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago
• yk / youtube-flatland
  Let's solve the flatland challenge!
  ☆73Updated 2 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆166Updated 7 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago