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Reinforcement Learning in Finance
by Igor Halperin- 3.6
Approx. 17 hours to complete
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. - Apply their knowledge acquired in the course to a simple model for market dynamics that is obtained using reinforcement learning as the course project....
Modern Reinforcement Learning: Deep Q Learning in PyTorch
by Phil Tabor- 4.6
5.5 hours on-demand video
How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games In this complete deep reinforcement learning course you will learn a repeatable framework for reading and implementing deep reinforcement learning research papers. The introductory course in reinforcement learning will be taught in the context of solving the Frozen Lake environment from the Open AI Gym....
$15.99
A Complete Reinforcement Learning System (Capstone)
by Martha White , Adam White- 4.7
Approx. 16 hours to complete
This project will require you to implement both the environment to stimulate your problem, and a control agent with Neural Network function approximation. Course 4 Introduction Reinforcement Learning Textbook Pre-requisites and Learning Objectives Meeting with Niko: Choosing the Learning Algorithm Agent Architecture Meeting with Martha: Overview of Design Choices Milestone 4: Implement Your Agent...
Fundamentals of Reinforcement Learning
by Martha White , Adam White- 4.8
Approx. 15 hours to complete
Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. This is the first course of the Reinforcement Learning Specialization. Reinforcement Learning Textbook...
Practical Reinforcement Learning
by Pavel Shvechikov , Alexander Panin- 4.3
Approx. 26 hours to complete
Welcome to the Reinforcement Learning course. Reinforcement learning vs all Rules on the academic integrity in the course Model-free reinforcement learning Supervised & Reinforcement Learning Combining supervised & reinforcement learning...
Modern Reinforcement Learning: Actor-Critic Methods
by Phil Tabor- 4.4
8 hours on-demand video
In this advanced course on deep reinforcement learning, you will learn how to implement policy gradient, actor critic, deep deterministic policy gradient (DDPG), and twin delayed deep deterministic policy gradient (TD3) algorithms in a variety of challenging environments from the Open AI gym. The course begins with a practical review of the fundamentals of reinforcement learning, including topics such as:...
$11.99
Artificial Intelligence: Reinforcement Learning in Python
by Lazy Programmer Team- 4.6
14.5 hours on-demand video
Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications Reinforcement learning has recently become popular for doing all of that and more. And yet reinforcement learning opens up a whole new world. As you’ll learn in this course, the reinforcement learning paradigm is very from both supervised and unsupervised learning....
$199.99
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Advanced AI: Deep Reinforcement Learning in Python
by Lazy Programmer Team- 4.6
10.5 hours on-demand video
The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks This course is all about the application of deep learning and neural networks to reinforcement learning. Supervised and unsupervised machine learning algorithms are for analyzing and making predictions about data, whereas reinforcement learning is about training an agent to interact with an environment and maximize its reward....
$29.99
Reinforcement Learning with Pytorch
by Atamai AI Team- 4.1
7 hours on-demand video
Learn to apply Reinforcement Learning and Artificial Intelligence algorithms using Python, Pytorch and OpenAI Gym And that's why this course has been created. We will start from very basic information, gradually building our understanding, and finally reaching the point where we will make our agent learn in human-like way - only from video input! - Introduction to Reinforcement Learning - Deep Reinforcement Learning...
$16.99
Prediction and Control with Function Approximation
by Martha White , Adam White- 4.8
Approx. 22 hours to complete
We conclude this course with a deep-dive into policy gradient methods; a way to learn policies directly without learning a value function. -Understand how to use supervised learning approaches to approximate value functions Course 3 Introduction Read Me: Pre-requisites and Learning Objectives Reinforcement Learning Textbook Doina Precup: Building Knowledge for AI Agents with Reinforcement Learning...