Deep reinforcement learning for robotics

Modern houses and robots have a lot in common. Both have a lot of sensors and have to make a lot of decisions. However, unlike houses, robots adapt and perform helpful tasks. Brandon Rohrer details an algorithm specifically designed to help houses, buildings, roads, and stores learn to actively help the people that use them.

Alekh Agarwal explains why interactive learning systems that go beyond the routine train/test paradigm of supervised machine learning are essential to the development of AI agents. Along the way, Alekh outlines the novel challenges that arise at both the systems and learning side of things in designing and implementing such systems.

Gabrielle Crevecoeur dives into the world of NodeBots. Using Node.js, the Johnny-Five framework, and an Arduino, Gabrielle walks participants through creating a bot, step by step. Although the NodeBot you build will respond to voice recognition, you'll leave able to create NodeBots with any functionality you like.