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The best Reinforcement Learning courses and tutorials on the internet

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+150h
Unity, Nvidia-deep-learning-institute
Udacity
Expert
+150h
1 Four-Month Term
Nanodegree
Deep reinforcement learning is what powers the current advances that we see happening in Aritificial Intelligence. This particular subsection of the industry has the potential to literally change the world. As a student of this program, you will lear..
15-35h
Kaggle, AWS
Udacity
Beginner
15-35h
Self-paced
No certificate
Build a solid foundation in Supervised, Unsupervised, Reinforcement, and Deep Learning. Then, use these skills to test and deploy machine learning models in a production environment. Learn foundational machine learning skills in the Intro to Machine ..
15-35h
Georgia Institute of Technology
Udacity
Intermediate
15-35h
Self-paced
No certificate
Ever wonder how your phone can recognize your voice? Netflix can predict what movies you'll like? and how can we program machines to learn like us? Take this course and you'll learn how these things are done and learn how to apply Supervised, Unsuper..
15-35h
Georgia Institute of Technology
Udacity
Expert
15-35h
Self-paced
No certificate
Do you want to have a deeper level of understanding of machine learning? This expert course from Udacity is great for you. In here, students will become a participant in the ever-growing research community of reinforcement learning and improve your k..
8.5h
Lazy Programmer Inc.
Udemy
Intermediate
8.5h
Self-paced
Okay
Now you can master your deep reinforcement learning skills and get new insights to advance your understanding of artificial intelligence and the concept of machine learning with this comprehensive course. Learn how to use Python to create a simple ap..


4.6
·
4042 reviews
9h
Lazy Programmer Inc.
Udemy
Expert
9h
Self-paced
Okay
This artificial intelligence course is primarily aimed at advanced users and focuses on giving an in-depth explanation of two main concepts: Deep Learning algorithms and Neural Networks and also includes how to build them using Python.


4.7
·
1850 reviews
29.5h
Juan Gabriel Gomila Salas
Udemy
All levels
29.5h
Self-paced
Okay
Combina el poder de los datos, Reinforcement Learning, Q-Learning y Deep Learning para crear IA en contextos reales


4.3
·
538 reviews
15h
Massachusetts Institute of Technology
edX
Expert
15h
Unknown
Micromaster
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. ? Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science. Machine lear..
24h
Microsoft
edX
Expert
24h
Self-paced
Okay
Learn how to frame reinforcement learning problems, tackle classic examples, explore basic algorithms from dynamic programming, temporal difference learning, and progress towards larger state space using function approximation and DQN (Deep Q Network..
26-40h
National Research University Higher School of Economics
Coursera
Expert
26-40h
Starts Apr 27
Good
Welcome to the Reinforcement Learning course. Here you will find out about: - foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. --- with math & batteries included - using deep neural networks for RL tasks --- al..


4.1
·
187 reviews
7h
Atamai AI Team
Udemy
Beginner
7h
Self-paced
Okay
Learn to apply Reinforcement Learning and Artificial Intelligence algorithms using Python, Pytorch and OpenAI Gym


4.1
·
141 reviews
4.5h
Packt Publishing
Udemy
Intermediate
4.5h
Self-paced
Okay
A practical tour of prediction and control in Reinforcement Learning using OpenAI Gym, Python, and TensorFlow


3.8
·
39 reviews
4h
Samuel Reischl
Udemy
All levels
4h
Self-paced
Okay
Vom autonomen Fahren zum besten Go-Spieler der Welt


3.7
·
3 reviews
1h 21m
Justin Flett
Pluralsight
Intermediate
1h 21m
Self-paced
Good
TensorFlow is a widely-used data science and machine learning software library. This course will teach you the basics of implementing predictive analytics using TensorFlow, including supervised learning, recommendation, and reinforcement systems. Dat..


3.5
·
10 reviews
26-40h
New York University Tandon School of Engineering
Coursera
Expert
26-40h
Starts Apr 27
Good
In the last course of our specialization, Overview of Advanced Methods of Reinforcement Learning in Finance, we will take a deeper look into topics discussed in our third course, Reinforcement Learning in Finance. In particular, we will talk about l..


3.4
·
29 reviews
26-40h
New York University Tandon School of Engineering
Coursera
Expert
26-40h
Unknown
Good
This course aims at introducing the fundamental concepts of Reinforcement Learning (RL), and develop use cases for applications of RL for option valuation, trading, and asset management. Prerequisites are the courses "Guided Tour of Machine Learnin..


3.3
·
42 reviews
2.5h
Packt Publishing
Udemy
Intermediate
2.5h
Self-paced
Okay
Learn how to implement Reinforcement Learning techniques using the R programming language


3.3
·
8 reviews
6h
Packt Publishing
Udemy
Intermediate
6h
Self-paced
Okay
Develop smart agents & train them using Reinforcement Learning with Tensorflow?s neural networks


3
·
2 reviews
1.5h
Packt Publishing
Udemy
Intermediate
1.5h
Self-paced
Okay
A practical approach to deep learning and deep reinforcement learning for building real-world applications using TensorF


2.8
·
2 reviews
1.5h
Packt Publishing
Udemy
Intermediate
1.5h
Self-paced
Okay
Get to grips with the basics of Reinforcement Learning and build your own intelligent systems


1.8
·
2 reviews
0.7h
Packt Publishing
Udemy
Expert
0.7h
Self-paced
Okay
A comprehensive guide to concepts and advanced algorithm in reinforcement learning


1
·
1 reviews
1.5h
Packt Publishing
Udemy
Beginner
1.5h
Self-paced
Okay
Leverage TRFL to create and implement RL models with ease
26-40h
New York University Tandon School of Engineering
Coursera
Intermediate
26-40h
Starts Apr 27
Good
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practic..
26-40h
National Research University Higher School of Economics
Coursera
Expert
26-40h
Starts Apr 27
Good
This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of sol..

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