인공지능 (Artificial Intelligence)
- 강의실: 공학 x관 xxx호
- Textbooks
- 이건명. 인공지능 튜링 테스트에서 딥러닝까지, 2018. 생능출판사 [link]
- Textbooks (additional)
- D. L. Poole, A. K. Mackworth, Artificial Intelligence: Foundations of Computational Agents, (2nd edition), Cambridge University Press, 2017 [book][pdf]
- Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Third edition), Prentice Hall, 2010 [book]
- I. Goodfellow, Y. Bengio, A. Courville, Deep learning, MIT Press, 2016 [book]
- Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, MIT Press, 1998 [link] [2nd_edition]
- D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press, 2009 [book]
- References
- TensorFlow [link]
- Tensorflow Lecture at Stanford U. [link]
- AI lecture at Brown Univ.
- AI lecture at Berkeley Univ. [link]
- AIML lecture at Princeton Univ. [link]
- Deep RL lecture at Berkeley Univ. [link]
- Deep RL Tutorial at ICML '17 [link]
- Chapter 1: 인공지능 [pdf]
- Chapter 2: 탐색과 최적화 [pdf]
- A Survey of Monte Carlo Tree Search, 2012 [pdf]
- Monte Carlo Tree Search [pdf]
- S. Gelly, D. Silver, Monte-carlo tree search and rapid action value estimation in computer Go, 2011 [pdf]
- Constraint satisifaction problems [pdf]
- Adversarial serach [pdf]
- Chapter 3: 지식 표현과 추론 [pdf]
- Chapter 4: 기계학습 [pdf] [pdf] [pdf] [pdf] [pdf]
- Supervised learning [pdf]
- Generative models [pdf]
- Kernal methods / SVM [pdf]
- Gaussian processes [pdf]
- [Toronto] Reinforcement learning [pdf]
- RL: Planning by dynamic programming [pdf]
- RL: Model-free prediction [pdf]
- RL: Model-free control [pdf]
- RL: Value function approximation [pdf]
- RL: Policy gradient [pdf]
- [ref] AlphaStar, Nature '19 [link] [paper]
- [ref] Self-imitation learning, ICML '18 [pdf]
- Chapter 5: 딥러닝 [pdf] [pdf] [pdf] [pdf] [pdf]
- Deep belife networks [pdf]
- RBM: Tutorial [pdf]
- G. E. Hinton, S. Osindero, Y.-W. Teh, A fast learning algorithm for deep belief net, 2006 [pdf]
- R. Salakhutdinov, G. E. Hinton, Deep Boltzmann Machines, 2009 [pdf]
- I.J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, Generative adversarial nets. NIPS, 2014 [pdf]
- Chapter 6: 계획수립 [pdf]
- Chapter 8: 자연언어 처리
- Chapter 9: 컴퓨터 비전
- Assignment 1: 제출기한 - 10월 18일
- Solve problems: chapter 2-3, 2-7, 2-8, 2-12, 2.13, 2.14, 2.15
- Assignment 2: 제출기한 - 10월 25일
- Project 1: 제출기한 - 11월 14일
- Assignment 3: 제출기한 - 11월 7일
- Solve problems: chapter 3-3, 3-5, 3-9, 3-10, 3-16, 3.18, 3.19, 3.23
- Project 2: 제출기한 - 12월 6일
- Assignment 4: 제출기한 - 12월 19일
- Solve problems: chapter 4-6, 4-9, 4-12, 4-13, 4-14, 4-15, 4-20, 4-21, 4-23, 4-25, 4-26, 4-28, 4-29, 4-31, 4-32, 4.34, 4.35, 4-36, 4-37, 4-38, 4-39
- Project 3: 제출기한 - 12월 27일