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Stanford University · Course

Reinforcement Learning (CS234)

Reinforcement Learning (CS234) on Stanford Online is a ten-week graduate introduction to RL, the paradigm for teaching autonomous systems to make good decisions, covering core challenges such as generalisation and exploration.

Open at Stanford University ↗Common questions

Who it suits

  • Programmers with Python, calculus and probability who want a solid introduction to reinforcement learning.
  • Learners interested in robotics, game playing, consumer modelling and healthcare applications.

What it covers

  • The core challenges and approaches in RL, including generalisation and exploration.
  • The basics of reinforcement learning through written and coding assignments.
  • Deep reinforcement learning, combining deep learning with RL.

Before you start

  • Stanford lists a conferred bachelor’s degree with an undergraduate GPA of 3.0 or better.
  • Proficiency in Python; all assignments are in Python.
  • College calculus and linear algebra, and basic probability and statistics.
  • Foundations of machine learning, covered by either CS221 or CS229.

Common questions about Reinforcement Learning (CS234)

How long is it?
Stanford lists 10 weeks at 10 to 20 hours a week, for 3 academic units.
Do I need Python?
Yes. Stanford says assignments are in Python, though experience in another language may be enough.
Can I enrol any time?
Enrolment is only open during set periods, and an application is needed for graduate courses, so check the page for the current dates.

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Where this comes from

Written from Stanford University’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Stanford University and this is not an endorsement.