Reinforcement Learning
McGill University · QC · COMP579
Reinforcement Learning is a subject at McGill University, QC in COMP. It covers topics like deep-learning, learning-theory, machine-learning, statistical-learning. It is part of 10 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
COMP579
3.00
COMP
Topics covered
Degrees that include Reinforcement Learning
- Applied Artificial Intelligence Minor (B.Eng.) (25 credits)
- Cognitive Science Honours (B.A. & Sc.) (60 credits)
- Cognitive Science Interfaculty Program (B.A. & Sc.) (54 credits)
- Computer Engineering (B.Eng.) (133 credits)
- Computer Science - Artificial Intelligence Major (B.Sc.) (63 credits)
- Computer Science (Thesis) (M.Sc.) (45 credits)
- Electrical Engineering Honours (B.Eng.) (138 credits)
- Electrical Engineering (Non-Thesis): Applied Artificial Intelligence (M.Eng.) (45 credits)
- Statistics Honours (B.A.) (63 credits)
- Statistics Honours (B.Sc.) (63 credits)
Frequently asked questions
What is Reinforcement Learning about?
Reinforcement Learning covers topics like deep-learning, learning-theory, machine-learning, statistical-learning.
Which degrees include Reinforcement Learning?
Reinforcement Learning is part of 10 degrees, including Applied Artificial Intelligence Minor (B.Eng.) (25 credits), Cognitive Science Honours (B.A. & Sc.) (60 credits), Cognitive Science Interfaculty Program (B.A. & Sc.) (54 credits), Computer Engineering (B.Eng.) (133 credits), Computer Science - Artificial Intelligence Major (B.Sc.) (63 credits).
How many credit points is Reinforcement Learning?
Reinforcement Learning at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Reinforcement Learning taught?
Reinforcement Learning is taught at McGill University, QC.
Studying Reinforcement Learning?
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Sources: McGill 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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