Reinforcement Learning

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Reinforcement Learning for Trading Strategies (Coursera)

In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied [...]
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Overview of Advanced Methods of Reinforcement Learning in Finance (Coursera)

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.
1
Average: 1 ( 4 votes )

Prediction and Control with Function Approximation (Coursera)

In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize [...]
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Sample-based Learning Methods (Coursera)

In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience. Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain [...]
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Average: 4 ( 3 votes )

Practical Reinforcement Learning (Coursera)

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 --- also known as "the hype train"; state of the art RL algorithms--- and how [...]
3
Average: 3 ( 4 votes )

A Complete Reinforcement Learning System (Capstone) (Coursera)

In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. This capstone will let you see how each component---problem formulation, algorithm selection, parameter selection and representation design---fits together into a complete solution, and how [...]
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Deep Learning and Reinforcement Learning (Coursera)

Sep 20th 2021
Deep Learning and Reinforcement Learning (Coursera)
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This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we [...]
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Sep 20th 2021
Course Auditing
31.00 EUR/month

Reinforcement Learning for Trading Strategies (Coursera)

Sep 20th 2021
Reinforcement Learning for Trading Strategies (Coursera)
Course Auditing
Categories
Effort
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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.
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Sep 20th 2021
Course Auditing
32.00 EUR/month

Fundamentals of Reinforcement Learning (Coursera)

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. Understanding the importance and challenges of learning agents that make [...]
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Introduction to Machine Learning (Coursera)

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. [...]
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