CausalRL / DRLLinks
Deconfounding Reinforcement Learning in Observational Settings
☆51Updated 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)☆45Updated 5 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆45Updated 4 years ago
- ☆48Updated 3 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☆52Updated 4 years ago
- ☆78Updated 4 years ago
- Code for paper Causal Confusion in Imitation Learning☆46Updated 5 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆63Updated 3 years ago
- ☆89Updated last year
- 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
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆46Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- ☆13Updated 6 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Updated 4 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆47Updated 2 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- ☆45Updated 3 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35Updated 6 years ago
- ☆32Updated 3 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 5 months 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
- hsvgbkhgbv / Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learningThermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning☆10Updated 7 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- ☆133Updated last year
- Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.☆18Updated 3 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated last year
- ☆32Updated 3 years ago
- ☆53Updated 3 years ago