Category Archives

43 Articles

Theory

Reinforcement Learning

Posted by Yi-Ling Hwong on

Today’s blog post is about Reinforcement Learning (RL), a concept that is very relevant to Artificial General Intelligence. The goal of RL is to create an agent that can learn to behave optimally in an environment by observing the consequences - rewards - of its own actions. By incorporating deep ...

Theory

Continuous Learning

Posted by Gideon Kowadlo on

The standard machine learning approach is to learn to accomplish a specific task with an associated dataset. A model is trained using the dataset and is only able to perform that one task. This is in stark contrast to animals which continue to learn throughout life and accumulate and re-purpose know ...

Theory

Intuition over reasoning for AI

Posted by Gideon Kowadlo on

By Gideon Kowadlo I’m reading a fascinating book called The Righteous Mind, by Jonathan Haidt. It’s one of those reads that can fundamentally shift the way that you see the world. In this case, the human world, everyone around you, and yourself. A central idea of the book is that our behav ...