CS234: Reinforcement Learning Winter 2026
CS234: Reinforcement Learning Winter 2026 Course Description & Logistics Course Instructor Course Assistants Prerequisites for This Class Learning Outcomes Course Lecture Materials (Videos and Slides) Draft Course Schedule [...] | | Monday | Tuesday | Wednesday | Thurs
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
CS234: Reinforcement Learning Winter 2026
Course Description & Logistics
Course Instructor
Course Assistants
Prerequisites for This Class
Learning Outcomes
Course Lecture Materials (Videos and Slides)
Draft Course Schedule [...] | | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday |
--- --- --- --- | | Week 1 | Jan 5 | Jan 6 | Jan 7 | Jan 8 | Jan 9 | Jan 10 | Jan 11 | | Lecture Materials | Introduction to RL | | Tabular MDP Planning [Assi
Common questions
What will I learn in CS234: Reinforcement Learning Winter 2026?
CS234: Reinforcement Learning Winter 2026 Course Description & Logistics Course Instructor Course Assistants Prerequisites for This Class Learning Outcomes Course Lecture Materials (Videos and Slides) Draft Course Schedule [...] | | Monday | Tuesday | Wednesday | Thurs
Is CS234: Reinforcement Learning Winter 2026 free?
Yes — this guide is free to access through Stanford Online. Some providers may offer paid certificates separately.
Do I need any prerequisites?
Recommended prep: Basic Python familiarity; Comfort with algebra or calculus basics; Interest in robotics systems.
How long does it take?
1 hours total. Most learners complete this guide in self-directed sessions over a few weeks.
Does it offer a certificate?
This guide does not include a formal certificate. Focus is on the learning material itself.
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