Introduction, AI Ethics

• Tues: [Introduction]
• Thurs: [AI: Ethics and Society]


• UCB slides: [1]
• UCB videos: [1]

Search

• Tues: [Search I], [Exercises]
• Thurs: [Search II], [Exercises]


• UCB slides: [1], [2]
• UCB videos: [1], [2]
• UCB exercises: Exercise, Solution
• UCB SBS videos: Uninformed Search, A* Search and Heuristics

Constraint Satisfaction Problems and Local Search

• Tues: [CSPs I], [Exercises]
• Thurs: [CSPs II, Local Search], [Exercises]


• UCB slides: [1], [2]
• UCB videos: [1], [2]
• UCB exercises: Exercise, Solution

Adversarial Search, Utilities

• Tues: [Game Trees I], [Exercises]
• Thurs: [Game Trees II, Utilities], [Exercises]


• UCB slides: [1], [2]
• UCB videos: [1], [2]
• UCB exercises: Exercise, Solution
• UCB SBS videos: Alpha-Beta

Markov Decision Processes

• Thurs: [MDPs], [Exercises I], [Exercises II]


• UCB slides: [1], [2]
• UCB videos: [1], [2]
• UCB exercises: Exercise, Solution

Reinforcement Learning

• Tues: [RL I], [Exercises]
• Thurs: [RL II], [Exercises]


• UCB slides: [1], [2]
• UCB videos: [1], [2]
• UCB exercises: Exercise, Solution

Bayes Nets: Representation and Inference

• Tues: [BN I], [Exercises]
• Thurs: [BN II], [Exercises]


• UCB slides: [1], [2] [3] [4]
• UCB videos: [1], [2] [3] [4]
• UCB exercises: Exercise, Solution
• UCB SBS videos: Independence, Elimination of One Variable, Variable Elimination

Midterm

• Tues: [BN III], [Exercises]


• UCB slides: [1]
• UCB videos: [1]
• UCB exercises: Exercise, Solution
• UCB SBS videos: Sampling, Sampling II

(Hidden) Markov Models, Particle Filters, and VPI

• Tues: [HMMs], [Exercises]
• Thurs: [Filtering, VPI], [Exercises]


• UCB slides: [1], [2] [3]
• UCB videos: [1], [2] [3]
• UCB exercises: Exercise I, Solution I, Exercise II, Solution II

Naive Bayes and Perceptrons

• Tues: [Naive Bayes], [Exercises]
• Thurs: [Perceptrons], [Exercises]


• UCB slides: [1], [2]
• UCB videos: [1], [2]
• UCB exercises: Exercise, Solution
• UCB SBS videos: Maximum Likelihood Examples, Laplace Smoothing, Perceptrons

Deep Learning

• Tues: [DL], [Exercises]
• Thurs: [Exercises]


• UCB slides: [1], [2]
• UCB videos: [1], [2]
• UCB exercises: Exercise, Solution

SVMs, Kernels, and Clustering

• [MIRA, SVMs, kNN, Kernels, Clustering], [Exercises]


• UCB videos: [1], [2]

Classical Planning

• Tues: [Classical Planning I], [Exercises]
• Thurs: [Classical Planning II], [Exercises]

Philosophical Foundations

• Tues: [Slides]
• Thurs: [Prof. Zhu's Slides], [Prof. Stone's Slides]

Final Exam