Get a brief overview of topics in reinforcement learning such as multi-agent methods, practical issues, and active areas of research. Also find educational resources to get started with reinforcement learning theory and code.
Author Archives: Sebastian Castro
Introduction to Deep Reinforcement Learning
Learn how deep neural networks have transformed the field of reinforcement learning by exploring some of the popular value-based, policy gradient, and actor-critic methods.
An Intuitive Guide to Reinforcement Learning
Get an overview of traditional reinforcement learning techniques for tabular environments consisting of finite sets of discrete states and actions.
Introduction to Natural Language Processing
A high-level overview of Natural Language Processing (NLP), with a focus on rule-based and statistical (machine learning) systems for understanding text.
Anatomy of a Robotic System
Learn about all the types of skills that make up a capable robotic system.
Continuous Integration with GitHub, Docker, and Jenkins
Learn the basics of continuous integration software practices with an example using GitHub, Docker, and Jenkins.
Testing Python Code
Get an overview of testing techniques and tools for Python code.
Managing Your Python Environment
Learn the basics of managing your Python development environment.
The Best Programming Languages for Robotics
Learn about Sebastian’s top programming languages for robotics.