TD-Regularized Actor-Critic Methods
A game theoretic approach to explain the output of any machine learning model.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Machine learning, in numpy
强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Open Policy Agent (OPA) is an open source, general-purpose policy engine.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
An elegant PyTorch deep reinforcement learning library.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Pytorch implementation of convolutional neural network visualization techniques
