callmespring

RL-short-course

Reinforcement Learning Short Course

CausalRL

Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)

LOGAN

Implementation of "Testing individual mediation effects using the logic of Boolean matrix" (JASA 2022) and "Sequential Pathway Inference for Multimodal Neuroimaging Analysis" (STAT 2022) in Python

MDPOD

Simulation of Ridesharing Market and the MDP Order Dispatch Policy

D2OPE

Implementation of "Deeply-Debiased Off-Policy Interval Estimation" (ICML, 2021) in Python

dgcit

DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing (JMLR, 2021)

SAVE

Implementation of "Statistical Inference of the Value Function for Reinforcement Learning" in Infinite Horizon Settings in Python

callmespring.github.io

CUSUM-RL

Implementation of "Reinforcement Learning in Possibly Nonstationary Environments"

DJL

Implementation of Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings (NeurIPS, 2021) in Python

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

CausalMARL

Implementation of "A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets"

Confounded-POMDP-OPE

Implementation of "A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes" (ICML)

Causal-Inference-Lectures

cope

Implementation of "Off-Policy Interval Estimation with Confounded Markov Decision Process" (JASA, 2022+)

COPP

Conformal Off-policy Prediction

CQSTVCM

DIRL

Double Inhomogeneous Reinforcement Learning

Double_CUSUM_RL

Implementation of "A Robust Test for the Stationarity Assumption in Sequential Decision Making"

kddcup-starting-kit

The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.

markov_test

Testing for the Markov Property in Time Series via Deep Conditional Generative Learning

MDP_design

MediationRL

Implementation of "A Reinforcement Learning Framework for Dynamic Mediation Analysis" (ICML 2023) in Python.

PBL

We propose a novel pessimism-based Bayesian learning method for optimal dynamic treatment regimes

ROOM

Robust Offline Reinforcement Learning with Heavy-Tailed Rewards

SEAL

Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons

starter-academic

starter-hugo-academic

🎓 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

SUGAR

Implementation of "Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning" (JASA, 2023+)

Sutton-Barto-implementions

Implementations of examples in Sutton & Barto book.