In this post, we will see how to animate matplotlib graphs. In many situations you might wish to create an animated content of some dynamic graph or process. You might want to do this to explain or understand a concept better. It is especially appealing for people like me who cannot think in abstract terms. …
Introduction In the initial years of my signal processing career, I have struggled to find tools and software that can do audio signal processing tasks. I was aware of free software like Audacity and python programming language. But I often felt a curated list of all possible options would have helped me a lot …
Linear regression is one of the algorithm machine learning enthusiasts start to learn first. In this article, l will walk you through the linear regression intuition. We will implement the basic form of it without using any machine learning packages. The main philosophy of supervised machine learning algorithms is to learn from data. The algorithms …
Introduction In this tutorial, I am going to code the iterative policy evaluation algotithm from the book “Reinforcement Learning: An Introduction by Andrew Barto and Richard S. Sutton”. I am going to take psuedo code, image and examples from this text. The example I am taking for this tutorial is the gird world maze from Chapter …
Iterative Policy Evaluation for Estimating Value Function Read More »
This article shows two key visual intuitions behind the usage of a discount factor in reinforcement learning with image, code, and video. Introduction Most of the advances in science and technology happened in the last 100 years. We can see mind-boggling progress in automotive, medicine, communication, energy, etc. . Among these advances, some technologies shake …
In summertime when I go out, I don’t take the raincoat with me. On what basis am I not expecting it to rain during summer?. Isn’t it my past experience gives me that knowledge and estimate the outcome?. The expected value in probability theory leverages such a pattern in data to make a good representation …
This tutorial is on the typesetting language called LaTeX. LaTeX is useful when it comes to creating complex documents like thesis, project reports, research articles, etc. We will see the basic use-cases in around 22 examples. LaTeX Installation Instructions Windows In Windows, you need to install two programs called MiKTeX and TeXstudio. Please be careful to install …
What is a vector? I know you might be already thinking- “a vector is something which has magnitude and direction”. But that’s old school definition. I also used to think that way, but after I left the academic world, I had to dig deeper. The more I explored, the deeper the concept became. This post …
Introduction Iterative Policy Improvement (IPI) is an algorithm in reinforcement learning to find the optimal course of action given the enviroment conditions. This blog post explains how it is done using a simple grid world navigating example. It works by iteratively improving an initial policy using the policy evaluation and policy improvement steps. Here’s how …
Introduction Bandit problems are the simplest possible reinforcement learning scenario. Here the bandit machine can have k arms and pulling each arm leaves the user a reward. One of the arms will be giving higher rewards in the long run and moreover this pattern could be changing over a time period. Think of the scenario …