Stanford CS234 Reinforcement Learning Course: Academic Integrity and Collaboration Policies
By
jonbaer
Warm and crisp on the edges. A bagel with a bit of bite.
Summary
This article outlines the academic integrity and collaboration policies for Stanford's CS234: Reinforcement Learning course. It explains that while students can discuss ideas for written homework problems, they must write their own solutions independently without referring to others' work. For coding assignments, students may only share input-output behavior of programs to encourage separate work while sharing testing ideas. The policy explicitly prohibits sharing solutions with other students or making assignment solutions publicly available online, both of which constitute honor code violations.
Key quotes
· 4 pulledIn this class, for written homework problems, you are welcome to discuss ideas with others, but you are expected to write up your own solutions independently (without referring to another's solutions).
For coding, you may only share the input-output behavior of your programs. This encourages you to work separately but share ideas on how to test your implementation.
Please remember that if you share your solution with another student, even if you did not copy from another, you are still violating the honor code.
Consistent with this, it is also considered an honor code violation if you make your assignment solutions publicly available, such as posting them online or in a public git repo.
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