Alternatives and similar repositories for RLclass

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

• MehdiZouitine / gym_ma_toy
  Toy environment set for multi-agent reinforcement learning and more
  ☆38Updated 6 months ago
• erachelson / rlvs_rl_fundamentals
  ☆25Updated 4 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• erachelson / MLclass
  My main Machine Learning class
  ☆63Updated 4 years ago
• jbmouret / map_elites_tutorial
  Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)
  ☆20Updated 2 years ago
• distillpub / post--understanding-rl-vision
  Understanding RL vision Distill article
  ☆23Updated 2 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 5 years ago
• dtak / ocbnn-public
  General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
  ☆38Updated 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
• sail-sg / optim4rl
  Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
  ☆25Updated 6 months ago
• Feryal / rl_mlss_2020
  ☆53Updated 4 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆54Updated 3 years ago
• fel-thomas / Sobol-Attribution-Method
  👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)
  ☆30Updated 2 years ago
• jbmouret / bo_tutorial
  Notebook for the Bayesian Optimization (quick) tutorial
  ☆10Updated 4 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆88Updated 5 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• SuReLI / dyna-gym
  This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.
  ☆31Updated 6 years ago
• eleurent / phd-defense
  ☆43Updated 4 years ago
• causal-rl-anonymous / causal-rl
  ☆43Updated 3 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• antoine-moulin / MVA
  Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
  ☆22Updated 2 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆43Updated 4 years ago
• datasailors / bayesian_calibration
  Bayesian calibration using Tensorflow Probability
  ☆34Updated 6 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated last year
• RobertTLange / flexible-learning-group
  A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗
  ☆27Updated 4 years ago
• erfanMhi / base_reinforcement_learning
  This is the code-base that I personally use as the starting point for any reinforcement learning codebase with the purpose of fast experi…
  ☆12Updated 2 years ago
• ejmejm / RL-template
  Template for fast, efficient, and simple Reinforcement Learning
  ☆37Updated 3 years ago
• DiegoAE / BOSD
  ☆25Updated 4 years ago