| Utah State University |
|---|
| Department of Electrical and Computer Engineering |
| ECE 6930 - Reinforcement Learning |
| Course title | ECE 6930 - Reinforcement Learning |
|---|---|
| Instructor | Prof. Jake Gunther (jake.gunther@usu.edu) EL 149 |
| Office hours | TBD |
| Textbook | Sutton and Barto, "Reinforcement Learning: An Introduction" (second edition), MIT Press, 2019 |
| Prerequisites | Probability, algorithms, programming, hard work |
| Class time | TBD |
| Class location | TBD |
This course is an introduction to reinforcement learning (RL). Students will work through the math in the textbook to understand the meaning and relation among various quantities as they relate to RL. Students will implement RL algorithms in code to understand and appreicate existing techniques for developing datasets, applying training algorithms, and using RL in applications. The goal of the course is for students to be conversant in the principles, the language, the intuition, the mathematics, the algorithms, and the implementation considerations of RL. Students may also be asked to prepare and present lectures on RL topics.
| Item | Weight |
|---|---|
| Homework assignments | 50% |
| Computer assignments | 50% |
Students who miss lectures are responsible to find out what they missed from their classmates. The instructor will not repeat the lecture during office hours.
Assignments will not be accepted late without prior instructor permission.
Don't do it! Everything you turn in must represent your own thinking and work. Cheating will result in failing the course.
The following is taken from the USU Academic Honesty and Integrity Policy.
Each student agrees to the following Honor Pledge: “I pledge, on my honor, to conduct myself with the foremost level of academic integrity.” Violations of the Academic Integrity Standard (academic violations) include, but are not limited to: Cheating: (1) using or attempting to use or providing others with any unauthorized assistance in taking quizzes, tests, examinations, or in any other academic exercise or activity, including working in a group when the instructor has designated that the quiz, test, examination, or any other academic exercise or activity be done “individually”; (2) depending on the aid of sources beyond those authorized by the instructor in writing papers, preparing reports, solving problems, or carrying out other assignments; (3) substituting for another student, or permitting another student to substitute for oneself, in taking an examination or preparing academic work; (4) acquiring tests or other academic material belonging to a faculty member, staff member, or another student without express permission; (5) continuing to write after time has been called on a quiz, test, examination, or any other academic exercise or activity; (6) submitting substantially the same work for credit in more than one class, except with prior approval of the instructor; or (7) engaging in any form of research fraud. Falsification: altering or fabricating any information or citation in an academic exercise or activity. Plagiarism: representing, by paraphrase or direct quotation, the published or unpublished work of another person as one’s own in any academic exercise or activity without full and clear acknowledgment. It also includes using materials prepared by another person or by an agency engaged in the sale of term papers or other academic materials.
In cooperation with the Disability Resource Center, reasonable accommodation will be provided for qualified students with disabilities. Please meet with the instructor during the first week of class to make arrangements. Alternate format print materials (large print, audio, diskette or Braille) will be available through the Disability Resource Center.