Alternatives and similar repositories for guided-evolutionary-strategies

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

• 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
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆378Updated 3 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 3 years ago
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆279Updated 2 years ago
• uber-research / EvoGrad
  ☆182Updated last year
• DanielTakeshi / rl_algorithms
  I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…
  ☆52Updated 5 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 6 years ago
• mrahtz / easy-tf-log
  Easy TensorFlow logging for quick prototypes
  ☆110Updated 4 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆157Updated 6 years ago
• AI-ON / TheConsciousnessPrior
  AI-ON Consciousness Prior
  ☆97Updated 7 years ago
• hardmaru / pytorch_notebooks
  tutorial notebooks
  ☆390Updated 7 years ago
• bharathgs / NALU
  Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
  ☆115Updated 7 years ago
• atgambardella / pytorch-es
  Evolution Strategies in PyTorch
  ☆355Updated 8 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 8 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆103Updated 6 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆205Updated 3 years ago
• openai / baselines-results
  ☆119Updated 5 years ago
• moskomule / pytorch.rl.learning
  for learning reinforcement learning using PyTorch.
  ☆64Updated 6 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆253Updated 7 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆168Updated 7 years ago
• yaroslavvb / kfac_pytorch
  ☆134Updated 8 years ago
• jingweiz / pytorch-dnc
  Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
  ☆277Updated 7 years ago
• JoergFranke / ADNC
  Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
  ☆95Updated 3 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 5 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 8 years ago
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆144Updated 2 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆267Updated 6 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆166Updated 7 years ago
• koz4k / dni-pytorch
  Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
  ☆239Updated 6 years ago
• modestyachts / ARS
  An implementation of the Augmented Random Search algorithm
  ☆425Updated 4 years ago