I wanted to avoid making this post as there will be zero code. But as I assumed my series will be stand-alone I have to write it. So to move further I have to first establish a definition of Finite Markov Decision Process. It is a crucial assumption. Solving the problem of Finite Markov Decision … Continue reading Finite Markov Decision Process a high-level introduction
Recently I described simple K-bandit problem and solution. I also did a little introduction to Reinforcement Learning problem. Today I am still going to focus on the same problem with a little bit more terminology and few different algorithms (or more like few different variants). I am not going to exhaust the topic as it's … Continue reading Non stationary K-armed bandit problem in Python
Basics As I introduced very basic what Reinforcement Learning is in the series hub. There are 4 basic terms which are worth to know when reading around RL stuff, a policy, a reward signal, a value function and environment model. I will skip the model as we will explore model-free learning for now. We will get … Continue reading RL basics and simple K-armed bandit problem
2017 recap So it's already 6 January 2018. But I gave into the mood of summing up my 2017. I mean I am myself interested in what happened during that year and maybe in some lessons, I should remember. I won't spend much research on that, I don't have any journals or anything like that. … Continue reading 2017 recap
I went to a cooking course and finished it as a better programmer. Check out what I learned...
Hi! Welcome to the Harder Choices. Which is my blog and personal space. First of all my name is Jeremi. Now we are no longer strangers. But don't worry I am not talking to you from the sewer but from the Internet. So it's fine. Few things about me: I am a software engineer @ … Continue reading Hi everyone