causal-rl-anonymous / causal-rl
☆43Updated 2 years ago
Alternatives and similar repositories for causal-rl:
Users that are interested in causal-rl are comparing it to the libraries listed below
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆38Updated 3 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆38Updated 3 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆36Updated 11 months ago
- Deconfounding Reinforcement Learning in Observational Settings☆50Updated 5 years ago
- ☆29Updated 2 years ago
- ☆32Updated 7 months ago
- ☆85Updated 7 months ago
- Toolkit of Causal Model-based Reinforcement Learning.☆33Updated last year
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆45Updated 4 years ago
- 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
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆38Updated 4 years ago
- Offline Reinforcement Learning Reading Group☆27Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Simulation code for reference with MABUC article: Bareinboim, Forney, & Pearl (2015)☆17Updated 9 years ago
- ☆42Updated 3 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆34Updated 2 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆42Updated 4 years ago
- Code for Expert Supervised Reinforcement Learning☆10Updated 3 years ago
- VIME: Variational Information Maximizing Exploration☆9Updated 5 years ago
- ☆29Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆32Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆49Updated 4 years ago
- Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.☆17Updated 3 years ago
- ☆48Updated 3 years ago