Tag Archive Data Science

Q Matrix Update to train Deep Recurrent Q Networks More Effectively

Deep Recurrent Q network, as discussed in previous article, can be very helpful in building smart agents that remember their learning from distant past. This feature makes a Deep Recurrent Q network a valuable function approximator in building AI agents for Deep Reinforcement Learning.

Read the rest of the article at Mindboard’s Medium channel.

Getting started with Data Science in 30 days using R programming

This series of posts is an attempt to help those who are in this pursuit and introduce them to the world of Data using the most widely popular language – R. Here is a collection of the first 12 articles.