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Deep Recurrent Q-Networks

Offered By: Pascal Poupart via YouTube

Tags

Deep Reinforcement Learning Courses Neural Networks Courses Q-learning Courses

Course Description

Overview

Explore deep recurrent Q-networks in this 28-minute lecture, delving into the fundamentals of recurrent neural networks, LSTM units, and their application in Q-learning. Gain insights into the structure and functionality of gates, unrolling techniques, and how these concepts are integrated into recurrent Q networks. Build upon previous knowledge with a comprehensive recap before diving into advanced topics in reinforcement learning and neural network architectures.

Syllabus

Introduction
Outline
Recap
Recurrent Neural Networks
LST M Unit
Unroll
Gates
Recurrent Q Networks
Q Learning


Taught by

Pascal Poupart

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