A curated list of Monte Carlo tree search papers with implementations.

Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure

Elixir library that provides macros which allow you to encapsulate business logic and validate incoming parameters with predefined contract.

Anchore container analysis and scan provided as a GitHub Action

A Python package for causal inference using Synthetic Controls

INTERCEPT / Policy as Code Auditing / SAST for Code & APIs

PRSM: Participatory System Mapping

A library for property-based policy evaluation

Synthetic difference in differences for Python

Rode facilitates Automated Governance in your software supply chain. This repository contains the rode API which is the primary interface between the rode UI or rode Collectors and metadata storage in Grafeas. The rode API provides functions for metadata search and storage as well as policy creation and evaluation.

Tabular methods for reinforcement learning

Generic constraint and policy evaluator

Offline evaluation of multi-armed bandit algorithms

Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:

Computational Data Analytics for Economists

Emergent unsupervised policy generation from thermodynamics

Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep Reinforcement Learning Nanodegree program.

Contains baseline implementations of all RL algorithms using tabular and function approximations. Algorithms such as TD(0), MC, SARSA, Q-Learning and Policy Gradient methods.

Qini curves for multi-armed treatment rules