CausalRL / DRLLinks
Deconfounding Reinforcement Learning in Observational Settings
☆52Updated 6 years ago
Alternatives and similar repositories for DRL
Users that are interested in DRL are comparing it to the libraries listed below
Sorting:
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆46Updated 5 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆42Updated 4 years ago
- References at the Intersection of Causality and Reinforcement Learning☆89Updated 5 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆49Updated 4 years ago
- ☆47Updated 3 years ago
- Code for paper Causal Confusion in Imitation Learning☆46Updated 5 years ago
- ☆88Updated last year
- ☆78Updated 4 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 3 years ago
- ☆13Updated 6 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆48Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆97Updated 7 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated 2 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆96Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- Source code for "When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian …☆10Updated 4 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Updated 4 years ago
- hsvgbkhgbv / Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learningThermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning☆10Updated 6 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆45Updated 4 years ago
- ☆62Updated 7 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- ☆32Updated 2 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- Code for Expert Supervised Reinforcement Learning☆10Updated 4 years ago
- Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar☆28Updated 3 years ago
- ☆92Updated last year
- ☆44Updated 3 years ago