Reinforcement Learning and Optimal Control for Autonomous Systems I
New York University · NY · ROB-GY6323
Reinforcement Learning and Optimal Control for Autonomous Systems I is a subject at New York University, NY. It covers topics like control-systems, embedded-systems, machine-learning, robotics. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
New York University
ROB-GY6323
3.00
Topics covered
Degrees that include Reinforcement Learning and Optimal Control for Autonomous Systems I
- Computer Engineering (MS)
- Electrical and Computer Engineering (PhD)
- Electrical Engineering (MS)
- Emerging Technologies (MS)
- Mechatronics and Robotics (MS)
Frequently asked questions
What is Reinforcement Learning and Optimal Control for Autonomous Systems I about?
Reinforcement Learning and Optimal Control for Autonomous Systems I covers topics like control-systems, embedded-systems, machine-learning, robotics.
Which degrees include Reinforcement Learning and Optimal Control for Autonomous Systems I?
Reinforcement Learning and Optimal Control for Autonomous Systems I is part of 5 degrees, including Computer Engineering (MS), Electrical and Computer Engineering (PhD), Electrical Engineering (MS), Emerging Technologies (MS), Mechatronics and Robotics (MS).
How many credit points is Reinforcement Learning and Optimal Control for Autonomous Systems I?
Reinforcement Learning and Optimal Control for Autonomous Systems I at New York University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Reinforcement Learning and Optimal Control for Autonomous Systems I taught?
Reinforcement Learning and Optimal Control for Autonomous Systems I is taught at New York University, NY.
Studying Reinforcement Learning and Optimal Control for Autonomous Systems I?
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Sources: New York University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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