RunzheStat's Stars
emeryberger/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
takuseno/d3rlpy
An offline deep reinforcement learning library
OscarEngelbrektson/SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
MasaAsami/pysynthdid
Synthetic difference in differences for Python
microsoft/ATAC
Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan Jiang, and Alekh Agarwal.
albietz/cb_bakeoff
scripts for evaluation of contextual bandit algorithms
seungjaeryanlee/implementations-nfq
Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
criteo-research/optimization-continuous-action-crm
Baichenjia/PBRL
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
CausalDM/Causal-Decision-Making
sophiagu/stable-baselines-tf2
stable-baselines for TF2.x
uoe-agents/robust_onpolicy_data_collection
Official Repository for "Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning" (NeurIPS 2022).
arita37/genrl-bandit
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
linlinlin97/MTSS
Implementation of "Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework" (2023 AISTATS) in Python
Breakend/rl-baselines-zoo-1
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
OscarEngelbrektson/Comparing_Synthetic_Control_Methods
Work on empirical comparison of synthetic control models