This article is a reflection and articulation about the paper titled “Fair Active Learning” authored by Hadis Anahideh and Abolfazi Asudeh. The research paper is available on Arxiv and I am reviewing version 2 of it. The paper deal with bias in data and unfairness in the context of Active Learning. Learning algorithms do their …
In this post, I am going to give a summary of nine key papers from the distributional reinforcement learning (DRL) area. Paper 001 : A Distributional Perspective on Reinforcement Learning This is the seminal paper in this area. The key idea of the paper is the argument that the value distribution is important in reinforcement …
Nine key papers in Distributional Reinforcement Learning Literature Read More »
This article is a tutorial style discussion of the research paper titled “Distributional RL with Quantile Regression”. Here I try to reflect and convey the ideas of the paper with an intuitive style. Introduction Supervised machine learning deals with learning from examples. This is in contrast to real-life where we often don’t have a proper …
Paper Note: Distributional Reinforcement Learning with Quantile Regression Read More »
Overview In this note about distributional reinforcement learning, I am going to reflect on the paper titled A Distributional Perspective on Reinforcement Learning. I will try to give an overview of the underlying ideas behind this paper. Please keep in mind that a research contribution is often a culmination of multiple ideas/components. This makes from …
Summary of research paper “A Distributional Perspective on Reinforcement Learning” Read More »