Reinforcement Learning #1: Fundamentals

[LeeAndro]

Reinforcement Learning #1: Fundamentals
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 255 MB
Duration: 1 hours | Genre: eLearning | Language: English

Introduction to Reinforcement Learning

What you'll learn

Requirements

Description

10 Lessons

Audience: Beginners

Introductory knowledge of Reinforcement Learning concepts

Overview

What you'll learn
Learn the fundamentals of Reinforcement Learning and gain familiarity with basic concepts of RL. They can then pursue advanced courses on Reinforcement Learning.
Requirements
No.
Description
This course gives fundamentals of Reinforcement Learning in a clear and precise manner. The course is broken down into 10 video lectures.
10 Lessons
45 minutes of video tutorial
Audience: Beginners
Course 1 of 10 (Reinforcement Learning)
Introductory knowledge of Reinforcement Learning concepts
Course contents are:
Overview
Agent and Environment
History and State
Markov Decision Process (MDP)
Components of RL Agent
Categorising RL Agents
Learning and Planning
Exploration and Exploitation
Prediction and Control
After completing this course one should be able to:
Understand the basics of Reinforcement Learning (RL).
Understand Key terminologies used in RL.
Get ready to dive into Advanced courses on RL.
Who this course is for:
Software Engineers, Data scientists, Machine Learning Engineers, Software developers

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