A curated list of Monte Carlo tree search papers with implementations.
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Updated
Mar 16, 2024 - Python
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 & Compliance
PRSM: Participatory System Mapping
Synthetic difference in differences for Python
A library for property-based policy evaluation
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
Offline evaluation of multi-armed bandit algorithms
Generic constraint and policy evaluator
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
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.
Emergent unsupervised policy generation from thermodynamics
Qini curves for multi-armed treatment rules
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.
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