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：新您将获得的技能: Application Deployment, Software As A Service, Distributed Computing, Service Oriented Architecture, Cloud Computing Architecture, Application Development
您将获得的技能: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Cloud Computing, MLOps (Machine Learning Operations), Convolutional Neural Networks, Cloud Management, Cloud Storage, Data Management
状态：免费试用您将获得的技能: 3D Assets, Unreal Engine, 3D Modeling, Virtual Environment, Computer Graphics, Computer Graphic Techniques
状态：免费您将获得的技能: Angular, Authentications, Web Applications, Web Development Tools, Authorization (Computing), User Interface (UI), GitHub
状态：预览Google Cloud
您将获得的技能: CI/CD, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Model Deployment, Tensorflow, Metadata Management, AI Orchestration, Containerization
状态：免费试用Board Infinity
您将获得的技能: Apple iOS, Apple Xcode, Core Data (Software), iOS Development, Secure Coding, Application Deployment, Scalability, Swift Programming, Performance Tuning, Application Security, Debugging, Application Performance Management, Application Programming Interface (API), Performance Testing, Encryption, JSON
状态：预览University of Michigan
您将获得的技能: File I/O, Data Structures, Scripting, Scripting Languages, Python Programming, Data Processing, Data Storage Technologies, Data Manipulation, Development Environment, Software Installation
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Data Preprocessing, Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Game Design, Data Science, Animation and Game Design
您将获得的技能: Supervised Learning, Data Preprocessing, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Data Transformation, Data Manipulation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis
状态：免费试用您将获得的技能: Infrastructure as Code (IaC), Cloud Management, Amazon Web Services, Cloud Infrastructure, Multi-Tenant Cloud Environments, AWS Identity and Access Management (IAM), Continuous Deployment, GitHub, Configuration Management, Version Control, Data Validation
状态：新状态：免费试用您将获得的技能: 3D Modeling, Unreal Engine, 3D Assets, Computer Graphics, Visualization (Computer Graphics), Data Import/Export
状态：免费试用您将获得的技能: Teradata SQL, Stored Procedure, Performance Tuning, Database Management, Extract, Transform, Load, Solution Design, Data Import/Export, Database Design, System Implementation, Data Manipulation, Data Processing, Emerging Technologies
与 reinforcement learning 相关的搜索
总之，以下是 10 最受欢迎的 reinforcement learning 课程
- Spring Boot Microservices with Spring Cloud!: Packt
- Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
- Advanced Asset Manipulation and Environment Detailing in UE5: Packt
- Firebase Authentication: Build Secure Angular Apps: Coursera
- ML Pipelines on Google Cloud - Português: Google Cloud
- Deploying and Scaling iOS Applications: Board Infinity
- Python بُنى بيانات: University of Michigan
- Game Development, Data Science, and Machine Learning: Packt
- DataPrep for H2O Driverless AI: H2O.ai
- Terraform Cloud - Automation, Workspaces, and Integration: Packt
