The story of how I realized the conversation is shifting in America — from Uber drives to after parties. — Forget about left vs. right, republican vs. democrat, and liberal vs. conservative for a few minutes. This article has nothing to do with that, it is about the bigger picture. I believe there is a revolution brewing up in our country, and it’s starting with the way we talk to…

Let’s teach our deep RL agents to make even more money using feature engineering and Bayesian optimization — In the last article, we used deep reinforcement learning to create Bitcoin trading bots that don’t lose money. Although the agents were profitable, the results weren’t all that impressive, so this time we’re going to step it up a notch and massively improve our model’s profitability. As a reminder, the…

Let’s make cryptocurrency-trading agents using deep reinforcement learning — In this article we are going to create deep reinforcement learning agents that learn to make money trading Bitcoin. In this tutorial we will be using OpenAI’s gym and the PPO agent from the stable-baselines library, a fork of OpenAI’s baselines library. The purpose of this series of articles is…

We are going to be extending the code we wrote in the last tutorial to render an insightful visualization of the environment using Matplotlib. If you haven’t read my first article on Creating custom Gym environments from scratch, you should stop here and read that first. If you are unfamiliar…

OpenAI’s gym is an awesome package that allows you to create custom reinforcement learning agents. It comes with quite a few pre-built environments like CartPole, MountainCar, and a ton of free Atari games to experiment with. These environments are great for learning, but eventually you’ll want to setup an agent…