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: Free Trial

    University of Michigan

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Precision Medicine, Machine Learning Software, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Product Strategy, Energy and Utilities, Image Analysis, Technical Design, Deep Learning, Computer Vision, Medical Imaging, Statistical Machine Learning, Reinforcement Learning, Electric Power Systems, Bioinformatics, Data-Driven Decision-Making

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI, Generative Model Architectures, Multimodal Prompts, Generative AI, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Deep Learning, Application Deployment, Artificial Intelligence, Case Studies, Reinforcement Learning, Machine Learning

  • 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)

  • Universidad de los Andes

    Skills you'll gain: Real-Time Operating Systems, Semantic Web, LangChain, Unsupervised Learning, Cloud-Native Computing, Continuous Deployment, Reinforcement Learning, Supervised Learning, Deep Learning, Cost Estimation, Computer Vision, MLOps (Machine Learning Operations), Biomedical Engineering, Artificial Intelligence, Natural Language Processing, Game Theory, Data Ethics, Linear Algebra, Machine Learning Methods, Prompt Engineering

  • 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

    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: 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

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, AWS SageMaker, AWS Identity and Access Management (IAM), Identity and Access Management, Computer Vision, Generative AI, LLM Application, Amazon Web Services, Applied Machine Learning, Natural Language Processing, Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Deep Learning, Data Wrangling

  • Skills you'll gain: Social Network Analysis, Systems Thinking, Unsupervised Learning, Data Storytelling, Reinforcement Learning, Deep Learning, Computer Vision, Predictive Modeling, Project Management Life Cycle, Time Series Analysis and Forecasting, Financial Data, Marketing Analytics, Simulations, Strategic Decision-Making, Data Cleansing, Exploratory Data Analysis, Descriptive Analytics, Data Management, Random Forest Algorithm, Operations Research

  • 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, Decision Making, Anomaly Detection, Probability Distribution, Cybersecurity, Statistical Analysis

  • Status: Free Trial

    Skills you'll gain: Blockchain, Cryptography, FinTech, Emerging Technologies, Ledgers (Accounting), Machine Learning, Financial Data, Artificial Intelligence, Financial Systems, Financial Services, Supervised Learning, Data Structures, Information Privacy, Personally Identifiable Information, Entrepreneurship, Technology Strategies, Unsupervised Learning, Distributed Computing, Reinforcement Learning

  • Status: Free Trial

    University of Alberta

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

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