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：预览Northeastern University
您将获得的技能: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation
您将获得的技能: AI Enablement, Cloud Development, Large Language Modeling, Image Analysis, AI Workflows, Feature Engineering, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Transfer Learning, Model Deployment, Generative AI, Natural Language Processing, Data Integration
状态：新状态：预览Erasmus University Rotterdam
您将获得的技能: Empathy, Collaboration, Organizational Leadership, Initiative and Leadership, Sustainable Systems, Governance, Corporate Sustainability
您将获得的技能: Unreal Engine, 3D Assets, Video Game Development, Virtual Environment, Animation and Game Design, Performance Tuning, Event-Driven Programming, User Interface (UI)
状态：预览Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
状态：新状态：免费试用Fred Hutchinson Cancer Center
您将获得的技能: Version Control, Secure Coding, Key Management
您将获得的技能: Gherkin (Scripting Language), Behavior-Driven Development, Cucumber (Software), Test Execution Engine, .NET Framework, User Story, Test Case, Test Script Development, Microsoft Visual Studio, Test Automation, C# (Programming Language), Acceptance Testing, Functional Requirement, Scenario Testing, Maintainability
状态：新状态：预览您将获得的技能: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming
状态：新状态：预览您将获得的技能: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Generative AI, ChatGPT, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Data Analysis, Pandas (Python Package), Software Documentation, Debugging
状态：新状态：免费试用您将获得的技能: Kubernetes, Network Troubleshooting, Authentications, Debugging, Event Monitoring, System Monitoring, Application Deployment, API Design, Application Programming Interface (API), Command-Line Interface
状态：新状态：免费试用您将获得的技能: 3D Assets, 3D Modeling, Unreal Engine, Video Game Development, Computer Graphics
总之，以下是 10 最受欢迎的 reinforcement learning 课程
- Machine Learning and Data Analytics Part 1: Northeastern University
- H2O Cloud AI Developer Services: H2O.ai
- Leadership in Transitions: Competences in Just Transitions: Erasmus University Rotterdam
- Unreal Engine 5 - Make AAA Game Vehicles: Packt
- Attention Mechanism - Español: Google Cloud
- Making Science Reproducible - A Capstone Course: Fred Hutchinson Cancer Center
- Specflow and Cucumber for .NET Developers - The Master Guide: Packt
- Python: Implement & Evaluate Random Forests for ML: EDUCBA
- Python: Master House Price Prediction with Linear Regression: EDUCBA
- Generative AI for Developers: Unit 2: Pearson
