Alternatives and similar repositories for gumbel-max-scm

Users that are interested in gumbel-max-scm are comparing it to the libraries listed below

• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆52Updated 6 years ago
• clvoloshin / COBS
  OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
  ☆61Updated 2 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
• causal-rl-anonymous / causal-rl
  ☆43Updated 3 years ago
• sjblim / rmsn_nips_2018
  ☆39Updated 6 years ago
• MLforHealth / rl_representations
  Learning representations for RL in Healthcare under a POMDP assumption
  ☆55Updated 5 months ago
• icu-sepsis / icu-sepsis
  ICU-Sepsis is a lightweight, yet challenging RL environment that models the treatment of sepsis in the ICU.
  ☆19Updated 8 months ago
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆103Updated 4 years ago
• pimdh / causal-confusion
  Code for paper Causal Confusion in Imitation Learning
  ☆45Updated 5 years ago
• akiani / gym-sepsis
  Open AI Gym Environment For MIMIC Dataset Sepsis Patient
  ☆20Updated 2 years ago
• google-research / deep_ope
  ☆86Updated 10 months ago
• sumedh7 / CausalCuriosity
  Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…
  ☆39Updated 4 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆87Updated 3 years ago
• ignavierng / notears-tensorflow
  Reimplementation of NOTEARS in Tensorflow
  ☆33Updated 2 years ago
• zt95 / infinite-horizon-off-policy-estimation
  ☆13Updated 6 years ago
• yixinwang / representation-causal-public
  ☆44Updated 3 years ago
• csquires / causal-rep-learning-reading-group
  ☆22Updated last year
• yannadani / vcn_pytorch
  Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"
  ☆17Updated 3 years ago
• ioanabica / Invariant-Causal-Imitation-Learning
  Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar
  ☆27Updated 3 years ago
• dtak / hip-mdp-public
  Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
  ☆32Updated 7 years ago
• debmandal / RL-Causality
  References at the Intersection of Causality and Reinforcement Learning
  ☆89Updated 4 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• tgangwani / SelfImitationDiverse
  Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)
  ☆20Updated 4 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 6 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 6 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆64Updated 4 months ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• ucla-csl / mabuc
  Simulation code for reference with MABUC article: Bareinboim, Forney, & Pearl (2015)
  ☆17Updated 9 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago