As a user, I quickly want to connect my Snowflake data warehouse with Kuwala to start applying transformations. I only want to put in my credentials and establish the connection. Once connected, I want to see the database schema to see all available tables. For every existing table, I want to see a preview of the data and the column types.
Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is the Evolution Strategies implementation, but of course the method can be used for gradient based RL algorithms (e.g. TD3).
Create a small project that demonstrates the abilities of the NEAT algorithm. It could be a game or a simple function-approximating application (ex. modeling the trigonometric functions using a neural network and a relatively large data set).
