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: Preview

    Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Computational Logic, Supervised Learning, Computer Science, Decision Tree Learning, Unsupervised Learning, Algorithms

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

  • 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: New
    Status: Free Trial

    Skills you'll gain: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, 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, Predictive Modeling, Probability Distribution

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

  • Status: Preview

    Skills you'll gain: Artificial Intelligence, Image Analysis, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Data Ethics, Supervised Learning, Artificial Neural Networks, Deep Learning

  • Status: Preview

    Skills you'll gain: Prompt Engineering, OpenAI, Responsible AI, ChatGPT, Data Ethics, Artificial Intelligence, Generative AI, LLM Application, Image Analysis, Large Language Modeling, Natural Language Processing, Computer Vision, Application Programming Interface (API), Reinforcement Learning

  • 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

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Reinforcement Learning, Machine Learning, Applied Machine Learning, Linear Algebra, Classification And Regression Tree (CART), Machine Learning Algorithms, Natural Language Processing, Statistical Machine Learning, Statistical Methods, Predictive Modeling, Bayesian Statistics, Scientific Visualization

  • 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

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