Reinforcement Learning

Reinforcement Learning is a type of Machine Learning where an agent learns to make decisions by taking actions in an environment to maximize a reward. Coursera's Reinforcement Learning catalogue teaches you the foundational principles and algorithms of reinforcement learning. You'll understand the exploration-exploitation tradeoff, learn about Markov Decision Processes (MDPs), and explore different methods for value function approximation. You'll also learn how to implement various reinforcement learning algorithms such as Q-Learning, Policy Gradient methods, and Deep Q-Networks (DQN). The understanding gained from these courses will equip you to handle complex real-world problems like game playing, robotics, navigation, and more.
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Explore the Reinforcement Learning Course Catalog

  • Status: New
    Status: Free Trial

    Skills you'll gain: Large Language Modeling, Generative Model Architectures, Multimodal Prompts, Prompt Engineering, Deep Learning, Application Deployment, Reinforcement Learning, Image Analysis, Performance Tuning, Computer Vision

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Data Science, Predictive Analytics, Strategic Decision-Making, Anomaly Detection, Probability Distribution, Cybersecurity, Statistical Analysis, Machine Learning Methods

  • Status: Free Trial

    Skills you'll gain: Rmarkdown, Shiny (R Package), Deep Learning, Data Import/Export, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Plotly, Applied Machine Learning, Machine Learning Algorithms, Web Scraping, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Image Analysis, Classification And Regression Tree (CART), PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)

  • Status: New
    Status: Free Trial

    Saïd Business School, University of Oxford

    Skills you'll gain: Responsible AI, Artificial Neural Networks, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Generative AI, Generative Model Architectures, Data Ethics, Deep Learning, Machine Learning, Business Ethics, Supervised Learning, Reinforcement Learning, Unsupervised Learning

  • Status: Preview

    Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

  • Status: Free Trial

    Whizlabs

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Text Mining, Time Series Analysis and Forecasting, Supervised Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART)

  • Status: Preview

    Yonsei University

    Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Business Strategy, Image Analysis, Natural Language Processing, Artificial Intelligence, Machine Learning, Reinforcement Learning, Unsupervised Learning, Supervised Learning

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

  • Status: Preview

    University of Washington

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Algorithms, Data Processing

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Intellectual Property, Responsible AI, Legal Risk, Reinforcement Learning, Artificial Intelligence, General Data Protection Regulation (GDPR), Dimensionality Reduction, Cloud Platforms, Deep Learning, Hardware Architecture, Law, Regulation, and Compliance, Regulation and Legal Compliance, Information Privacy, Information Technology, Social Studies, Artificial Neural Networks

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