Alternatives and similar repositories for estorch

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

• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• opium-sh / prl
  Open-source library for a reinforcement learning research.
  ☆54Updated 3 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆40Updated last year
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 3 years ago
• uber-research / EvoGrad
  ☆182Updated last year
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 5 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
• sergio-hcsoft / FractalAI
  Cellular automaton-based calculus for the masses
  ☆24Updated 7 years ago
• facebookresearch / rela
  Reinforcement Learning Assembly
  ☆92Updated 4 years ago
• ImparaAI / monte-carlo-tree-search
  Library for running a Monte Carlo tree search, either traditionally or with expert policies
  ☆127Updated last year
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆61Updated 5 years ago
• mlech26l / ordinary_neural_circuits
  Neuronal Circuit Policies
  ☆41Updated 3 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆118Updated 6 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆80Updated 2 years ago
• microsoft / statopt
  Statistical adaptive stochastic optimization methods
  ☆32Updated 5 years ago
• jpeg729 / pytorch_bits
  ☆80Updated 7 years ago
• rasmusbergpalm / evostrat
  A library that makes Evolutionary Strategies (ES) simple to use.
  ☆180Updated 4 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆115Updated 5 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 6 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 5 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 8 years ago
• chenxy99 / Generative-Temporal-Models-with-Spatial-Memory
  Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"
  ☆29Updated 3 years ago
• jolibrain / manette
  Deep Reinforcement Learning with Fined Grained Action Repetition
  ☆22Updated 8 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆58Updated 5 years ago
• opherlieber / rltime
  RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features
  ☆142Updated 6 years ago
• uber-research / Evolvability-ES
  ☆14Updated 6 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆29Updated 3 years ago
• uber-research / metropolis-hastings-gans
  ☆116Updated 2 years ago