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Artificial Intelligence

Facebook's Open-Source Reinforcement Learning Platform - A Deep Dive

Facebook's Open-Source Reinforcement Learning Platform - A Deep Dive

Facebook decided to open-source the platform that they created to solve end-to-end Reinforcement Learning problems at the scale they are working on. So of course I just had to try this ;) Let's go through this together on how they installed it and what you should do to get

Reinforcement Learning - Terminology

Reinforcement Learning - Terminology

Tags: Machine LearningReinforcement LearningQ LearningArtificial IntelligenceMonte Carlo Reinforcement Learning - An Overview of Today Reinforcement Learning took big leaps recently, so big that they are being used more and more in production environments (just think about Facebook using RL for its notification push system, or even for optimizing the bandwith

Writing a C# SDK for the OpenAI Gym using .NET Core

Writing a C# SDK for the OpenAI Gym using .NET Core

When we take a look at the OpenAI Gym on Github (https://github.com/openai/gym-http-api), we see that it does not have bindings available for C#. Now since I am a firm believer of .NET Core and what it brings to developer ecosystem, I decided to write one myself

OpenAI Gym Problems - Solving the CartPole Gym

OpenAI Gym Problems - Solving the CartPole Gym

In a previous post we set-up the OpenAI Gym to interface with our Javascript environment. Let's now look at how we can use this interface to run the CartPole example and solve it with the theory that we learned in previous blog posts. Requirements: * An introduction to Reinforcement

Bellman Equations

Bellman Equations

Summary So what did we learn up until now in our Introduction and Markov Property, Chain, Reward Process and Decision Process posts? Initially we defined our basic concepts: * State: What does our current environment look like? * Action: What action are we taking? * Policy: When taking action $a$ in state $s$

The Markov Property, Chain, Reward Process and Decision Process

The Markov Property, Chain, Reward Process and Decision Process

As seen in the previous article, we now know the general concept of Reinforcement Learning. But how do we actually get towards solving our third challenge: "Temporal Credit Assignment"? To solve this, we first need to introduce a generalization of our reinforcement models. When we look at these

Installing OpenAI Gym in a Windows Environment

Installing OpenAI Gym in a Windows Environment

Reinforcement learning does not only requires a lot of knowledge about the subject to get started, it also requires a lot of tools to help you test your ideas. Since this process is quite lengthy and hard, OpenAI helped us with this. By creating something called the OpenAI Gym, they