CS 5756
Last Updated
- Schedule of Classes - May 14, 2024 7:33PM EDT
- Course Catalog - May 14, 2024 7:07PM EDT
Classes
CS 5756
Course Description
Course information provided by the Courses of Study 2023-2024. Courses of Study 2024-2025 is scheduled to publish mid-June.
Advances in machine learning have proved critical for robots that continually interact with humans and their environments. Robots must solve the problem of both perception and decision making, i.e., sense the world using different modalities and act in the world by reasoning over decisions and their consequences. Learning plays a key role in how we model both sensing and acting. This course covers various modern robot learning concepts and how to apply them to solve real-world problems.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: MATH 1920 or MATH 2220, MATH 2940, CS 1110, and CS 4780 or permission of instructor.
Outcomes
- Learning perception models using probabilistic inference and 2D/3D deep learning.
- Imitation and interactive no-regret learning that handle distribution shifts, exploration/exploitation.
- Practical reinforcement learning leveraging both model predictive control and model-free methods.
Regular Academic Session. Choose one lecture and one project. Combined with: CS 4756
-
Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Choudhury, S
-
Additional Information
Instruction Mode: In Person
For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Share
Or send this URL: