ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
I saw that, when I use the short cut it's automatically download the json file. But it was juste luck.
If we would have a description of the element on hover it may help finding out those short cut.
Another Idea in the same issue. But beeing able to
The source code here at fecon236 is designed to be more
explicit than casual usage, so if you have experience in
setting up a nice documentation framework, please
kindly volunteer.
The current "docs" need a complete redo, one that starts from fresh eyes.
Nobody peeks at the source code unless t
Dichotomy Tests provides interesting tests that show you how inclined you are toward certain philosophical, psychological or political views. Each test tries to discover your preferred beliefs and will attempt to accurately position you along numerous dichotomic axes.
In database? On blockchain?