Networks-Learning / counterfactual-explanations-mdpLinks
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
☆16Updated 2 years ago
Alternatives and similar repositories for counterfactual-explanations-mdp
Users that are interested in counterfactual-explanations-mdp are comparing it to the libraries listed below
Sorting:
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 2 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- ☆39Updated 5 years ago
- ☆14Updated last year
- Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…☆17Updated last year
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆18Updated 2 years ago
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- ☆32Updated 3 years ago
- A comparison of some conformal quantile regression methods.☆14Updated 6 years ago
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆14Updated 6 months ago
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 2 years ago
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆42Updated 6 years ago
- ☆17Updated 4 years ago
- A Python Package for Non-stationary Online Learning (PyNOL)☆33Updated last year
- ☆32Updated 7 years ago
- A novel general non-stationary point process model based on neural networks.☆11Updated 3 years ago
- ☆10Updated 3 years ago
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆17Updated 2 years ago
- ☆12Updated 3 years ago
- MIE424 Group Project: smart_predict_optimize☆14Updated 4 years ago
- A Spatio-temporal point process simulator.☆47Updated 2 years ago
- Replication Code for Paper "Stochastic Optimization Forests".☆21Updated 3 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆29Updated last year
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)☆16Updated 5 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago
- ☆47Updated 3 years ago
- Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)☆11Updated 4 years ago