Weight Agnostic Neural Networks, by Adam Gaier and David Ha, was hailed as a seminal finding in Deep Learning that showed that the architecture of…
Category: Artificial Intelligence
TLDR Abstract The word “understand” has multiple possible meanings. You can “understand” how to play chess without knowing how to program it if by “understand”…
Have you heard the old joke about how there are liar, damn liars, and then there are statisticians? In this episode, Cameo and Bruce discuss…
The Importance of Asking Why — “The Book of Why: The New Science of Cause and Effect” “The lack of progress in AGI is due…
This post is a continuation of my posts on Reinforcement Learning. In my previous posts, I talked up Reinforcement Learning as if it was a…
In my last post I explained mathematically how Q-Learning allows us to solve any Markov Decision Process without knowing the transition function. In my final post,…
I came across this while studying for my next class (Computer Vision.) I had never heard of motion blindness before. I wonder what is going…
In my last post I situated Reinforcement Learning in the family of Artificial Intelligence vs Machine Learning group of algorithms and then described how, at least…
After Part 1 of my Reinforcement Learning series came out, KS from Twitter asked me the following: Is reinforcement learning inductive though? Can’t falsify (untrue)…
What is Reinforcement Learning? “…reinforcement learning seems to be a general learning algorithm that can be applied to a variety of environments; it may even…