Enhance decision-making with "Reinforcement Learning for Decision-Making Workshop," exploring advanced machine learning strategies.
Learning Objectives
- Understand the foundational concepts of reinforcement learning.
- Explore algorithms for decision-making in dynamic environments.
- Develop reinforcement learning models for real-world applications.
- Analyze the impact of reward structures on learning outcomes.
- Implement reinforcement learning solutions using popular frameworks.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.