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 ...

General

Introducing Abdel

Posted by Abdelrahman Ahmed on

Hello everyone! I am Abdelrahman Ahmed (or Abdel for short) and I joined the Project AGI team as a Research Assistant a few months ago. I thought it would be a good time to tell you more about myself and what I am working on at Project AGI. Who am I? Originally from Egypt, I studied Computer Sci ...

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 ...

Reading List

Reading list – August 2017

Posted by Yi-Ling Hwong on

1. Neuroscience-inspired Artificial Intelligence Authors: Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, and Matthew Botvinick Type: Review article in Neuron Publication date: 19 July 2017 This paper outlined the contribution of neuroscience to the most recent advances in AI and ar ...

General

AGI Conference 2017

Posted by David Rawlinson on

We attended the 2017 10th Conference on Artificial General Intelligence, which was located in our hometown of Melbourne, Australia! Excitingly, the IJCAI 2017 conference is also in Melbourne this week and ICML 2017 was in Sydney this year. In particular, the "Architectures for Generality and Au ...

Experiment

AGI Experimental Framework

Posted by Gideon Kowadlo on

We’re very excited to launch AGI Experimental Framework, AGIEF, our open source framework. We first introduced it a while back, at the end of 2015 here, and it has certainly come a long way. AGIEF was created to make running rigorous AI experiments convenient, reproducible and scalable. ...