State-of-the-art Research of Deep Reinforcement-learning
2.6
Udemy700 learners
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This course, State-of-the-art Research of Deep Reinforcement-learning, is the perfect way to get up to date with the newest state-of-the-art Deep reinforcement-learning research knowledge. Led by Nitsan Soffair, a Deep RL researcher at BGU, this course will provide you with the latest research from OpenAI, DeepMind, Google, and Microsoft. You will learn advanced exploration methods, chatbot based Deep RL, evaluation strategies, advanced RL metrics, navigating robot get human language instructions, and more. Validate your knowledge by answering short quizzes of each lecture and complete the course in ~2 hours. Don't miss out on this opportunity to stay ahead of the curve!
Reinforcement Learning for Trading Strategies
2.0
Coursera212 learners
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This course introduces you to the world of Reinforcement Learning (RL) and its application to trading strategies. You will learn how to integrate RL with neural networks and apply LSTMs to time series data. By the end of the course, you will be able to build trading strategies using RL, differentiate between actor-based policies and value-based policies, and incorporate RL into a momentum trading strategy. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning. Experience with SQL and a background in statistics and financial markets is recommended. Click now to learn how to use RL to build trading strategies!
DeepMind x UCL RL Lecture Series - Introduction to Reinforcement Learning [1&13]
2.5
Youtube224,957 learners
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This DeepMind x UCL RL Lecture Series is a great opportunity to learn about the fundamentals of Reinforcement Learning. Research Scientist Hado van Hasselt will introduce the course and explain how it relates to Artificial Intelligence. The lecture series includes slides and full video lectures, making it an ideal way to gain a comprehensive understanding of the subject. Don't miss out on this chance to learn about the exciting field of Reinforcement Learning.
Reinforcement Learning in 3 Hours Full Course using Python
2.0
Youtube295,350 learners
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This course is perfect for anyone wanting to get started with Reinforcement Learning. In just 3 hours, you'll learn the fundamentals of RL with Python, OpenAI Gym and Stable Baselines. You'll be able to build deep learning powered agents to solve a variety of RL problems, and even create your own environment. With this course, you'll learn how to setup Stable Baselines, understand OpenAI Gym environments, train a Reinforcement Learning model, evaluate and test agents, and even build custom OpenAI Gym environments. Get started with Reinforcement Learning today!
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