Alternatives and similar repositories for evoflow

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

• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• uber-research / EvoGrad
  ☆183Updated last year
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 2 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆40Updated 11 months ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated last year
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆32Updated 3 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• KMarino / hrl-ep3
  Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
  ☆15Updated 6 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆77Updated 5 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 2 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• uber-research / GTN
  ☆78Updated 5 years ago
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆123Updated 5 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
• 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
• tkipf / compile
  CompILE: Compositional Imitation Learning and Execution (ICML 2019)
  ☆112Updated 6 years ago
• supratikp / HOOF
  Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
  ☆19Updated 5 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 7 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago
• PartnershipOnAI / safelife
  SafeLife: safety benchmarks for reinforcement learning agents
  ☆61Updated 4 years ago
• angusfung / population-based-training
  Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.
  ☆55Updated 6 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 4 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆113Updated 5 years ago
• uber-research / metropolis-hastings-gans
  ☆116Updated last year
• facebookresearch / rela
  Reinforcement Learning Assembly
  ☆92Updated 3 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• MattKleinsmith / pbt
  Population Based Training (in PyTorch with sqlite3). Status: Unsupported
  ☆162Updated 7 years ago