污污草莓视频

Minerva Class Scheduling Visit for course dates & times.

污污草莓视频.ca / Overview / All Courses
important

Note: This is the 2022鈥�2023 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

COMP 579 Reinforcement Learning (4 credits)

Offered by: Computer Science (Faculty of Science)

Overview

Computer Science (Sci) : Bandit algorithms, finite Markov decision processes, dynamic programming, Monte-Carlo Methods, temporal-difference learning, bootstrapping, planning, approximation methods, on versus off policy learning, policy gradient methods temporal abstraction and inverse reinforcement learning.

Terms: Winter 2023

Instructors: Precup, Doina (Winter)

  • Prerequisite: A university level course in machine learning such as COMP 451 or COMP 551. Background in calculus, linear algebra, probability at the level of MATH 222, MATH 223, MATH 323, respectively.

Back to top