Sticky Post – Read this first. Categories and Links in Mathemafrica

The navigability of Mathemafrica isn't ideal, so I have created this post which might guide you to what you are looking for. Here are a number of different categories of post which you might like to take a look at: First year mathematics notes and resources (particularly for the University [...]

By | January 17th, 2018|0 Comments

Inverse Reinforcement Learning: Guided Cost Learning and Links to Generative Adversarial Networks

Recap In the first post we introduced inverse reinforcement learning, then we stated some result on the characterisation of admissible reward functions (i.e reward functions that solve the inverse reinforcement learning problem), then on the second post we saw a way in which we proceed with solving problems, more or [...]

By | May 28th, 2020|0 Comments

Maximum Entropy Inverse Reinforcement Learning: Algorithms and Computation

In the previous post we introduced inverse reinforcement learning. We defined the problem that is associated with this field, which is that of reconstructing a reward function given a set of demonstrations, and we saw what the ability to do this implies. In addition to this, we also saw came [...]

By | May 22nd, 2020|0 Comments

Inverse Reinforcement Learning: The general basics

Standard Reinforcement Learning The very basic ideas in Reinforcement Learning are usually defined in the context of Markov Decision Processes. For everything that follows, unless stated otherwise, assume that the structures are finite. A Markov Decision Process (MDP) is a tuple $latex (S,A, P, \gamma, R)$ where the following is [...]

By | May 17th, 2020|0 Comments

Systems Of Reasoning (S1E03) : Semantics, consistency and soundness.

I am going to make this blogpost a bit different. I am going to make it a bit "fun", and less proof/theorem. Any propositional variables can be assigned a truth ($latex T$) or falsehood ($latex F$) value through a mapping $latex f : \Phi \rightarrow \{T,F\}$. Where $latex \Phi $ is [...]

By | April 20th, 2020|0 Comments

Systems Of Reasoning (S1E02) : The Axiomatic Structure.

This is an episode in a series on mathematical logic approached with some rigour. Here, we will (still) be closely following the book by Peter B. Andrews: An Introduction To Mathematical Logic and Type Theory. We will look at the axiomatic structure of a logistic system we've been working on. The previous [...]

By | April 8th, 2020|0 Comments

System Of Reasoning (S1E01): The Rules.

The Pilot.  This is an episode in a series on mathematical logic approached with some rigour. Here, we will be closely following the book by Peter B. Andrews: An Introduction To Mathematical Logic and Type Theory. In this episode, we will: Part 1 Learn about well-formed formulas. Show the equivalence of [...]

By | April 1st, 2020|2 Comments

Correlation vs Mutual Information

This post is based on a (very small) part of the (dense and technical) paper Fooled by Correlation by N.N. Taleb, found at (1) Notes on the main ideas in this post are available from Universidad de Cantabria, found at (2) The aims of this post are to 1) introduce mutual [...]

By | March 28th, 2020|0 Comments

The Res-Net-NODE Narrative

Humble Beginnings: Ordinary Differential Equations The story begins with differential equations. Consider $latex f$ such that $latex f:[0,T]\times \mathbb{R}^n\to \mathbb{R}^n$ is a continuous function. We can construct a rather simple differential equation given this in the following way. We let $latex \begin{cases} {y'(t)}=f(t,y(t))\\ y(0)=y_0\in \mathbb{R}^n \end{cases} $ A solution to [...]

By | March 18th, 2020|Comments Off on The Res-Net-NODE Narrative

Scaled Reinforcement Learning: A Brief Introduction to Deep Q-Learning

This blog post is a direct translation of a talk that was given by the author on the 17th of February 2020. The ideas was to very briefly introduce Deep Q-Learning to an audience that was familiar with the fundamental concepts of reinforcement learning. If the person reading this is [...]

By | March 18th, 2020|0 Comments

Curves for the Mathematically Curious – an anthology of the unpredictable, historical, beautiful and romantic, by Julian Havil – a review

NB I was sent this book as a review copy. From Princeton University Press. What a beautiful idea. What a beautiful book! In studying mathematics, one comes across various different curves while studying calculus, or number theory, or geometry in various forms and they are asides of the [...]

By | March 15th, 2020|0 Comments
Continue Reading….