TLDR This article is the third and final installment of creating an AI-Based trading strategy using reinforcement learning. In the last article, the learner proved to make sensible trades during the testing phase, assuming no transaction costs. In this article, we will explore the effects of one …

TLDR This is Part 2 of my series on an AI-assisted stock trader. Refer to Part 1 to get more information on the requirements for a Q-Learner, though I will give a brief introduction anyway. A Q-Learner is a type of reinforcement learning algorithm to find the optimal strategy based on its …

TLDR In this post, I will cover concepts in reinforcement learning (RL), specifically Q-Learning, applied to the context of maximizing returns in a simulated stock market environment. Enjoy! 🙂 Q-Learning As briefly described above, Q-Learning is an RL technique that learns the optimal strategy …