RunzheStat's repositories
aaai2021
This is the repo for the source code of the AAAI2021 paper ``Near-Optimal MNL Bandits Under Risk Criteria"
bandits
Public repository for the work on bandit problems
CausalDM
A Tutorial on Causal Decision Making with an Accompanying Python Package
causalml
Uplift modeling and causal inference with machine learning algorithms
ContextDistributions
Code accompanying the Neurips 2019 paper "Stochastic Bandits with Context Distributions"
Deep-Bayesian-Bandits-Showdown
Models and examples built with TensorFlow
DeepBeerInventory-RL
The code for the SRDQN algorithm to train an agent for the beer game problem
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
ESPRM
Code for Efficient Policy Learning from Surrogate-Loss Classification Reductions paper
google-research
Google Research
Movie-Recommendation-using-Cascading-Bandits
Movie Recommendation using Cascading Bandits namely CascadeLinTS and CascadeLinUCB
PCMC-Net
PCMC-Net: Feature-based Pairwise Choice Markov Chains
rl-baselines-zoo-1
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
StochOptForest
Replication Code for Paper "Stochastic Optimization Forests".