The AI equipped with a reinforcement learning scheme can learn from real-time changes and help devise a proper marketing strategy. Reinforcement Learning in Marketing | by Deepthi A R – This example focuses on the changing business dynamics to which marketers need to adapt.
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This is where they have made use of reinforcement learning.Ĥ.
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Marketing and advertising – See how to make an AI system learn from a pre-existing dataset which may be infeasible or unavailable, and how to make AI learn in real-time by creating advertising content. It has tutorials, datasets, and relevant example papers that use RL as a backbone so that you can make a new finding of your own.ģ. Traffic Light Control– This site provides multiple research papers and project examples that highlight the use of core reinforcement learning and deep reinforcement learning in traffic light control. See why reinforcement learning is favored over other machine learning algorithms when it comes to manufacturing rocket engines.Ģ. You’ll find a lot of valuable information on the use of machine learning in manufacturing industries. Rocket engineering – Explore how reinforcement learning is used in the field of rocket engine development. Examples of where to apply reinforcement learningġ. The detailed guidance on the implementation of neural networks using the Tensorflow Q-algorithm approach is definitely worth your interest. The simple tabular look-up version of the algorithm is implemented first. The author explores Q-learning algorithms, one of the families of RL algorithms.
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Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networks – The first part of a tutorial series about reinforcement learning with TensorFlow. The course syllabus covers everything from the basics of RL to discussing and implementing different models, methods, and much more.Ĩ. The course features services like chat rooms, gradings, FAQs, feedback forms, and a virtual course environment. The repo is maintained to support online students with the option of two locales – Russian and English. Practical RL– This GitHub repo is an open-source course on reinforcement learning, taught on several college campuses. The author also explores the relationship of RL with other disciplines and discusses the future of RL.ħ. It narrows down the applications to 8 areas of learning, consisting of topics like machine learning, deep learning, computer games, and more. A detailed study of RL applications in real-world projects, explaining what a reinforcement learning framework is, and listing its use-cases in real-world environments. Applications of Reinforcement Learning in Real World– Explore how reinforcement learning frameworks are undervalued when it comes to devising decision-making models. The best of each algorithm is coordinated to provide a solution to optimized stock trading strategies.Ħ. The article includes a proper explanation of three combined algorithms: Proximal Policy Optimization (PPO), Advantage Actor-Critic (A2C), and Deep Deterministic Policy Gradient (DDPG). Deep Reinforcement Learning for Automated Stock Trading– Here you’ll find a solution to a stock trading strategy using reinforcement learning, which optimizes the investment process and maximizes the return on investment. Even beginners will be able to understand his overview of the core concepts of reinforcement learning.ĥ. The author has a lot of knowledge of deep reinforcement learning from working at Unity Technologies. Reinforcement Learning from scratch– This article will take you through the author’s process of learning RL from scratch. It starts with an overview of reinforcement learning with its processes and tasks, explores different approaches to reinforcement learning, and ends with a fundamental introduction of deep reinforcement learning.Ĥ. An introduction to Reinforcement Learning – There’s a lot of knowledge here, explained with much clarity and enthusiasm. There are numerous examples, guidance on the next step to follow in the future of reinforcement learning algorithms, and an easy-to-follow figurative explanation.ģ. It explains the core concept of reinforcement learning. Machine Learning for Humans: Reinforcement Learning – This tutorial is part of an ebook titled ‘Machine Learning for Humans’. RL with Mario Bros – Learn about reinforcement learning in this unique tutorial based on one of the most popular arcade games of all time – Super Mario.Ģ.
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