Sebastian Castro – Robotic Sea Bass

Reinforcement Learning: Looking Ahead and Getting Started

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.

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.