Alternatives and similar repositories for estool:

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

• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,587Updated 5 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,003Updated 6 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆894Updated 4 years ago
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,173Updated 2 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,430Updated 2 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆282Updated 2 years ago
• hardmaru / WorldModelsExperiments
  World Models Experiments
  ☆639Updated 2 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆967Updated 6 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,109Updated 7 years ago
• rail-berkeley / rlkit
  Collection of reinforcement learning algorithms
  ☆2,667Updated 10 months ago
• astooke / rlpyt
  Reinforcement Learning in PyTorch
  ☆2,250Updated 4 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆613Updated last year
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,624Updated 3 years ago
• alirezamika / evostra
  A fast Evolution Strategy implementation in Python
  ☆274Updated 5 years ago
• rail-berkeley / softlearning
  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…
  ☆1,294Updated last year
• Shmuma / ptan
  PyTorch Agent Net: reinforcement learning toolkit for pytorch
  ☆543Updated 6 months ago
• facebookresearch / torchbeast
  A PyTorch Platform for Distributed RL
  ☆747Updated 3 years ago
• chainer / chainerrl
  ChainerRL is a deep reinforcement learning library built on top of Chainer.
  ☆1,188Updated 3 years ago
• google-research / planet
  Learning Latent Dynamics for Planning from Pixels
  ☆1,189Updated 2 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆2,961Updated last year
• modestyachts / ARS
  An implementation of the Augmented Random Search algorithm
  ☆422Updated 3 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆710Updated 6 years ago
• qfettes / DeepRL-Tutorials
  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
  ☆1,070Updated 3 years ago
• navneet-nmk / pytorch-rl
  This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
  ☆444Updated 5 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆814Updated 3 years ago
• atgambardella / pytorch-es
  Evolution Strategies in PyTorch
  ☆351Updated 7 years ago
• google-deepmind / pycolab
  A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…
  ☆660Updated 5 years ago
• ctallec / world-models
  Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
  ☆608Updated 2 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆564Updated 2 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆566Updated 2 years ago