Alternatives and similar repositories for RL-Causality:

Users that are interested in RL-Causality are comparing it to the libraries listed below

• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆45Updated last year
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆50Updated 5 years ago
• pimdh / causal-confusion
  Code for paper Causal Confusion in Imitation Learning
  ☆45Updated 5 years ago
• google-research / deep_ope
  ☆85Updated 8 months ago
• clinicalml / gumbel-max-scm
  Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
  ☆44Updated 4 years ago
• iosband / TabulaRL
  ☆65Updated last year
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 4 years ago
• causal-rl-anonymous / causal-rl
  ☆43Updated 3 years ago
• zt95 / infinite-horizon-off-policy-estimation
  ☆13Updated 6 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 3 years ago
• wyndwarrior / Sectar
  Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
  ☆95Updated 6 years ago
• clvoloshin / COBS
  OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
  ☆61Updated 2 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆134Updated 2 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆48Updated 3 years ago
• implementation-matters / code-for-paper
  ☆109Updated 5 years ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆100Updated 4 years ago
• FerranAlet / modular-metalearning
  ☆77Updated 3 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆126Updated 6 years ago
• google-research / dice_rl
  ☆103Updated 7 months ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• ZhengyaoJiang / NLRL
  Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)
  ☆75Updated 5 years ago
• nikonikolov / rltf
  Reinforcement Learning implementations and research prototyping in TensorFlow
  ☆82Updated 5 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• sumedh7 / CausalCuriosity
  Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…
  ☆38Updated 3 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆94Updated 6 years ago
• thanard / me-trpo
  ☆91Updated last year
• russellmendonca / maesn_suite
  ☆42Updated 6 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago