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awesome-causal-rl-papers

Here is a list of papers related to causal reinforcement learning, and I hope you can submit relevant missing papers in the issue.

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-model-based-rl

A curated list of awesome model based RL resources (continually updated)

carlaautonomousdriving

autonomous driving use reinforcement learning in carla

data-version-control

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

elegantrl

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

emojione

[Archived] The world's largest independent emoji font. Maintained at https://github.com/joypixels/emoji-toolkit.

emojionearea

Emoji Picker Plugin for jQuery

forum-java

一款用 Java（spring boot） 实现的现代化社区（论坛/问答/BBS/社交网络/博客）系统平台。A modern community (forum/Q&A/BBS/SNS/blog) system platform implemented in Java（spring boot）.

hydrogen-js-sdk

Bmob 新版ES6 SDK, 新版语法整合微信小程序、快应用、H5等

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

opencv

Open Source Computer Vision Library

pcalg

CPDAG Estimation using PC-Algorithm

probabilistic-deep-learning-with-tensorflow

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

rocketmq

Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.

rspapers

Must-read papers on Recommender System.

small-spring

🌱《 Spring 手撸专栏》，本专栏以 Spring 源码学习为目的，通过手写简化版 Spring 框架，了解 Spring 核心原理。在手写的过程中会简化 Spring 源码，摘取整体框架中的核心逻辑，简化代码实现过程，保留核心功能，例如：IOC、AOP、Bean生命周期、上下文、作用域、资源处理等内容实现。

space

This repository contains the source codes for the paper: "SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments" published at ICCV 2021, 1st SEAI Workshop.

trustworthyai

trustworthy AI related projects