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：新状态：免费试用您将获得的技能: Web Components, TypeScript, UI Components, Javascript, Maintainability, Web Development Tools, Web Applications, Front-End Web Development, LESS, Cascading Style Sheets (CSS), Scalability
状态：新状态：免费试用您将获得的技能: Videography, Video Production, Photo/Video Production and Technology, Cinematography, Post-Production, Storytelling, Podcasting, Content Creation, Music
状态：新状态：免费试用Skillshare
您将获得的技能: Layout Design, Image Quality
状态：新状态：免费试用您将获得的技能: Application Design, User Interface (UI) Design, Graphical Tools, Python Programming, Computer Graphics
状态：新Packt
您将获得的技能: GitHub, Git (Version Control System), Version Control, Collaborative Software, Software Versioning, Software Development Tools, Command-Line Interface
状态：预览University of Michigan
您将获得的技能: Relational Databases, Data Visualization Software, Databases, MySQL, Database Design, Database Systems, SQL, Database Management Systems, Database Management, Query Languages, Object Oriented Programming (OOP), Data Storage, Data Processing, Web Scraping, Python Programming, Data Collection, Display Devices
状态：预览Google Cloud
您将获得的技能: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Continuous Deployment, Google Cloud Platform, Machine Learning Methods, AI Orchestration, AI Workflows, Metadata Management, PyTorch (Machine Learning Library), Containerization, Model Evaluation, Scalability
状态：新状态：免费试用您将获得的技能: Linux Administration, Ubuntu, Hardening, Linux Servers, Linux, Linux Commands, Application Security, Operating System Administration, Security Controls, Service Management, Patch Management, Systems Administration, Information Systems Security, Package and Software Management
您将获得的技能: Interactive Data Visualization, Data Transformation, Data Presentation, Data Visualization Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), Data Collection, Data Pipelines, Development Environment, Python Programming
您将获得的技能: Docker (Software), CI/CD, Containerization, Development Environment, Continuous Deployment, Continuous Integration, Devops Tools, DevOps, Application Deployment, Linux, Software Development Tools, YAML, Data Persistence, Command-Line Interface
您将获得的技能: Large Language Modeling, LLM Application, Generative AI, Prompt Engineering, Model Evaluation, Data Preprocessing, Application Development, Model Deployment, Open Source Technology
状态：免费试用您将获得的技能: Web Components, Responsive Web Design, UI Components, Web Design and Development, Web Design, Front-End Web Development, Content Management Systems, Full-Stack Web Development, Back-End Web Development, Application Deployment, Data Management
总之，以下是 10 最受欢迎的 reinforcement learning 课程
- Modern Frontend Web Development: Sass, JS & Typescript: Skillshare
- Cinematography & Videography Guide: Audio & Story: Skillshare
- Graphic Design Theory - Print Design: Skillshare
- PyQt Training Intermediate Level: EDUCBA
- Intro to Git: Packt
- Python استخدام قواعد البيانات مع: University of Michigan
- ML Pipelines on Google Cloud - 日本語版: Google Cloud
- Linux Security Basics and Beyond: Unit 2: Pearson
- ETL pipelines con Python: recopila datos de Spotify: Coursera
- The Docker Masterclass for Beginners: Packt
