Networks-Learning / counterfactual-explanations-mdp
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
☆16Updated last year
Alternatives and similar repositories for counterfactual-explanations-mdp:
Users that are interested in counterfactual-explanations-mdp are comparing it to the libraries listed below
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆28Updated 10 months ago
- ☆33Updated 5 years ago
- Dynamic causal Bayesian optimisation☆35Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆48Updated 5 years ago
- A Spatio-temporal point process simulator.☆45Updated last year
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆25Updated last year
- ☆16Updated 3 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 2 years ago
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆38Updated 5 years ago
- Website for a doctoral course on Dynamic Optimization☆19Updated last year
- Code for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"☆8Updated 5 years ago
- ☆16Updated last year
- ☆28Updated 3 years ago
- A novel general non-stationary point process model based on neural networks.☆10Updated 2 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆30Updated last year
- ☆9Updated last year
- PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning☆15Updated 3 years ago
- MIE424 Group Project: smart_predict_optimize☆13Updated 3 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆28Updated 3 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆18Updated last year
- Source code for "When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian …☆10Updated 3 years ago
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆11Updated 2 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆25Updated 10 months ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated 6 months ago
- Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)☆11Updated 3 years ago
- A library for mean-field games.☆46Updated this week
- ☆10Updated 10 months ago
- ☆11Updated 3 years ago
- Replication Code for Paper "Stochastic Optimization Forests".☆19Updated 3 years ago