callmespring Goto Github PK

callmespring.github.io

causal-inference-lectures

causalmarl

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

causalrl

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

confounded-pomdp-ope

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

cope

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

copp

Conformal Off-policy Prediction

cqstvcm

cusum-rl

Implementation of "Reinforcement Learning in Possibly Nonstationary Environments"

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)

dirl

Double Inhomogeneous Reinforcement Learning

djl

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

double_cusum_rl

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

gobang

Gobang Based on Monte Carlo Tree Search

kddcup-starting-kit

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

latex-proposal

The Proposal package for LaTeX

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

markov_test

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

mdp_design

mdpod

Simulation of Ridesharing Market and the MDP Order Dispatch Policy

mediationrl

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

nehe-opengl

The complete archive of all NeHe OpenGL Lessons available at http://nehe.gamedev.net.

pbl

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

reinforcement-learning

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

researcher

A jekyll based resume template

rl-short-course

Reinforcement Learning Short Course

room

Robust Offline Reinforcement Learning with Heavy-Tailed Rewards

save

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

seal

Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons