YoVDO

Overview of Deep Reinforcement Learning Methods

Offered By: Steve Brunton via YouTube

Tags

Reinforcement Learning Courses Deep Reinforcement Learning Courses Deep Q-Learning Courses

Course Description

Overview

Explore an overview of deep reinforcement learning methods in this 25-minute lecture. Dive into deep Q-learning, actor-critic methods, deep policy networks, and policy gradient optimization algorithms. Learn about the latest advancements in reinforcement learning as part of a comprehensive series based on the new Chapter 11 from the 2nd edition of "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz. Gain insights into the fundamental concepts of reinforcement learning, including deep policy networks, policy gradient optimization, and advantage actor-critic networks. Access additional resources, including the book's website, PDF, and Amazon link, to further enhance your understanding of these cutting-edge machine learning techniques.

Syllabus

Intro
REINFORCEMENT LEARNING
DEEP POLICY NETWORK
POLICY GRADIENT OPTIMIZATION
DEEP Q-LEARNING
ADVANTAGE ACTOR-CRITIC NETWORK


Taught by

Steve Brunton

Related Courses

Tensorflow Neural Networks using Deep Q-Learning Techniques
Coursera Project Network via Coursera
Artificial Intelligence for Business + ChatGPT Prize [2024]
Udemy
Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT
Udemy
Deep Reinforcement Learning: Hands-on AI Tutorial in Python
Udemy
Intelligence Artificielle de A à Z
Udemy