强化学习课程
Reinforcement Learning 课程可以帮助您学习马尔可夫决策过程、奖励系统和策略优化等关键概念。您可以掌握算法设计、模拟环境和评估代理性能方面的技能。许多课程介绍了 TensorFlow 和 OpenAI Gym 等工具，这些工具支持在实际场景中实施和测试强化学习算法。
热门强化学习课程和认证
状态：免费试用您将获得的技能: Html 和 Css, 层叠样式表（CSS）, 超文本标记语言（HTML）, 网页设计, 网络开发, 网络开发工具, 网络应用, 全栈式网络开发, Javascript, 前端网络开发, 互动设计, 后端网站开发
状态：免费试用University of California, Santa Cruz
您将获得的技能: 回归分析, 统计推理, 统计建模, 微软Excel, 预测建模, 概率与统计, 统计, 数据建模, 分析技能, R（软件）, 贝叶斯统计, 数据分析, 统计可视化, 概率, R 语言程序设计（中文版）, 统计方法, 数据可视化, 概率分布
状态：预览University of Washington
您将获得的技能: 软件安装, 其他编程语言, 编程原则, 计算思维, 计算机编程, 理论计算机科学, 鲁比（编程语言）, 功能设计, 软件设计
状态：新状态：免费试用您将获得的技能: Responsible AI, Containerization, Prompt Engineering, AI Orchestration, Scalability, AI Workflows, Application Deployment, Kubernetes, Agentic Workflows, Azure Active Directory, System Monitoring, LangChain, Generative AI Agents, Microservices, Microsoft Azure, Artificial Intelligence, Distributed Computing, Serverless Computing, Natural Language Processing, Reinforcement Learning
状态：新您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
状态：免费试用The Hong Kong University of Science and Technology
您将获得的技能: 工程计算, 应用数学, 计算逻辑, 高等数学, 普通数学, 工程分析, 代数, 算术, 线性代数
状态：新您将获得的技能: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering
状态：免费试用Rutgers the State University of New Jersey
您将获得的技能: 精益方法, 运营管理, 物流, 生产流程, 运行效率, 精益六西格玛, 质量改进, 六西格玛方法, 库存管理系统, 流程改进, 库存控制, Kanban 原则, 供应链, 精益生产
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning
状态：新状态：免费试用您将获得的技能: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)
状态：免费试用您将获得的技能: Gemini, Google Workspace, Productivity Software, Generative AI, AI Enablement, AI Workflows, Prompt Engineering, Responsible AI, Operational Efficiency, Business Workflow Analysis, Human Factors, Complex Problem Solving
状态：新状态：免费试用DeepLearning.AI
您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Transfer Learning, MLOps (Machine Learning Operations), Convolutional Neural Networks, Software Visualization, Model Evaluation, Computer Vision
总之，以下是 10 最受欢迎的 reinforcement learning 课程
- 使用 HTML、CSS 和 JavaScript 的网络开发入门: IBM
- 贝叶斯统计：从概念到数据分析: University of California, Santa Cruz
- 编程语言，A 部分: University of Washington
- Microsoft AI Agents: From Foundations to Applications: Microsoft
- Real-world End to End Machine Learning Ops on Google Cloud: Packt
- 工程师的矩阵代数: The Hong Kong University of Science and Technology
- Traverse Trees for ML with DFS & BFS: Coursera
- 供应链 Operator: Rutgers the State University of New Jersey
- PyTorch: Fundamentals: DeepLearning.AI
- SAS Certification Practice Exams: SAS
