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start [2017/09/17 12:33] anderson [September] |
start [2017/12/07 13:08] 127.0.0.1 external edit |
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 3:\\ Sept 4 - Sept 8 | Informed search. A* search. Python classes, sorting, numpy arrays. | + | | Week 3:\\ Sept 4 - Sept 8 | Informed search. A* search. Python classes, sorting, numpy arrays. |
- | | Week 4:\\ Sept 11 - Sept 15 | A* optimality, admissible heuristics, effective branching factor.\\ Local search and optimization. | + | | Week 4:\\ Sept 11 - Sept 15 | A* optimality, admissible heuristics, effective branching factor.\\ Local search and optimization. |
- | | Week 5:\\ Sept 18 - Sept 22 | Adversarial search. Minimax. Alpha-beta pruning. | + | | Week 5:\\ Sept 18 - Sept 22 | Adversarial search. Minimax. Alpha-beta pruning. |
- | | Week 6:\\ Sept 25 - Sept 29 | + | | Week 6:\\ Sept 25 - Sept 29 |
===== October ===== | ===== October ===== | ||
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 7:\\ Oct 2 - Oct 6 | | + | | Week 7:\\ Oct 2 - Oct 6 | Introduction to Reinforcement Learning. |
- | | Week 8:\\ Oct 9 - Oct 13 | | + | | Week 8:\\ Oct 9 - Oct 13 | Reinforcement Learning for Two-Player Games.\\ Introduction to Neural Networks |
- | | Week 9:\\ Oct 16 - Oct 20 | | + | | Week 9:\\ Oct 16 - Oct 20 | More Neural Networks |
- | | Week 10:\\ Oct 23 - Oct 27 | Introduction to Reinforcement Learning. | | Chapter 21\\ [[http://incompleteideas.net/sutton/book/the-book-2nd.html|Reinforcement Learning: An Introduction]] | + | | Week 10:\\ Oct 23 - Oct 27 | Introduction to Classification. Bayes Rule. Generative versus Discriminative. Linear Logistic Regression. |
===== November ===== | ===== November ===== | ||
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 11:\\ Oct 30 - Nov 3 | | | + | | Week 11:\\ Oct 30 - Nov 3 | Classification with Neural Networks |
- | | Week 12:\\ Nov 6 - Nov 10 | | | | | + | | Week 12:\\ Nov 6 - Nov 10 | Reinforcement Learning with Neural Networks.\\ Lecture and Chuck' |
- | | Week 13:\\ Nov 13 - Nov 17 | | | | | + | | Week 13:\\ Nov 13 - Nov 17 | Faster Reinforcement Learning. Autoencoder neural networks. |
| Nov 20 - Nov 24 | Fall Break | | | Nov 20 - Nov 24 | Fall Break | | ||
- | | Week 14:\\ Nov 27 - Dec 1 | Constraint satisfaction. Min-conflicts | + | | Week 14:\\ Nov 27 - Dec 1 | Constraint satisfaction. Min-conflicts |
===== December ===== | ===== December ===== | ||
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 15:\\ Dec 4 - Dec 8 | Propositional | + | | Week 15:\\ Dec 4 - Dec 8 | Recurrent neural networks |
- | | Finals Week:\\ Dec 11 - Dec 15 | | + | | Finals Week:\\ Dec 11 - Dec 15 | |