Predicting with world models

This week’s article is “World Models” by Ha and Schmidhuber . You can find a fancy interactive version of the article here. To understand this post, you need to have a basic understanding of neural networks, recurrent neural networks / LSTMs and reinforcement learning. In my own words Let’s say you want to train a […]

Reinforcement learning and Rubik’s Cube

This week’s article is “Solving the Rubik’s Cube Without Human Knowledge” by McAleer, Agostinelli, Shmakov, and Baldi , which was submitted to NeurIPS 2018. To understand this article, you need to have a basic understanding of neural networks and be familiar with reinforcement learning. In my own words The Rubik’s Cube is a 3-dimensional combination […]