Topics in Artificial Intelligence (2017 Spring – 240030)

“Student-teacher relationships are based on trust. Acts, which violate this trust, undermine the educational process. Your classmates and the instructor will not tolerate violations of academic integrity”

1. Course Schedule & Lecture Notes

  • May 02 – Reinforcement Learning – II

  • May 09 – [대선]

  • May 16 – Reinforcement Learning – III

    • Lecture Note 2
    • Homework – 3
      • Atari Breakout 학습시키기
        • 참고 동영상: Google Deepmind’s Atari Breakout
        • 참고 코드: BreakOut-0.py
        • ipython nodebook 내에 충분한 주석 달기
        • MUST-DO 숙제는 아님. 하지만, 완료하여 제출하는 학생은 높은 학점 보장
        • Due Date: 2017년 6월 18일

2. Course Information

3. Logistics

  • Attendance – One class absence will result in the deduction of two points out of 100 points. Three absences will not result in ten points deduction, but “failure” (i.e., grade ‘F’) in this course.
  • Exam – There will be the final exam for the evaluation of the knowledge learned from the class.
  • Book Report – Students should read one of books listed in the references, and submit a book report.
  • Home Works – Much evaluation mark will be counted.

4. Evaluation

  • Attendance (10%)
  • Book Report or Home Works (40%)
  • Final Examination (50%)