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start [2018/08/29 14:14] anderson [September] |
start [2018/11/07 17:36] 127.0.0.1 external edit |
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 3:\\ Sept 4 - Sept 7\\ No class on the Sept 3 (University Holiday) and Sept 5 (instructor traveling) | + | | Week 3:\\ Sept 4 - Sept 7\\ No class on the Sept 3 (University Holiday) and Sept 5(instructor traveling). Sept 7 is optional. GTAs will answer assignment questions. |
- | | Week 4:\\ Sept 10 - Sept 14 | A* optimality, admissible heuristics, effective branching factor.\\ Local search and optimization. |[[http:// | + | | Week 4:\\ Sept 10 - Sept 14 | Informed search. A* search. Python classes, sorting, numpy arrays. A* optimality, admissible heuristics, effective branching factor.\\ Local search and optimization. |
| Week 5:\\ Sept 17 - Sept 21 | Adversarial search. Minimax. Alpha-beta pruning. Stochastic games. | | Week 5:\\ Sept 17 - Sept 21 | Adversarial search. Minimax. Alpha-beta pruning. Stochastic games. | ||
- | | Week 6:\\ Sept 24 - Sept 28 | Negamax, with pruning. | [[http:// | + | | Week 6:\\ Sept 24 - Sept 28 | Negamax, with pruning. |
===== October ===== | ===== October ===== | ||
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^ Week ^ Topic ^ Material | ^ Week ^ Topic ^ Material | ||
- | | Week 7:\\ Oct 2 - Oct 6 | + | | Week 7:\\ Oct 1 - Oct 5 | Reinforcement Learning |
- | | Week 8:\\ Oct 9 - Oct 13 | + | | Week 8:\\ Oct 8 - Oct 12 | Introduction to Neural Networks |
- | | Week 9:\\ Oct 16 - Oct 20 | More Neural Networks | + | | Week 9:\\ Oct 15 - Oct 19 | More Neural Networks. Autoencoders. |
- | | Week 10:\\ Oct 23 - Oct 27 | Introduction to Classification. Bayes Rule. Generative versus Discriminative. Linear Logistic Regression. | + | | Week 10:\\ Oct 22 - Oct 26 | 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 2 | Classification with Neural Networks | + | | Week 11:\\ Oct 29 - Nov 2 | Classification with Neural Networks. Reinforcement Learning with Neural Networks. |
- | | Week 12:\\ Nov 5 - Nov 9 | Reinforcement Learning with Neural Networks. | [[http:// | + | | Week 12:\\ Nov 5 - Nov 9 | Introduction to Pytorch.\\ Constraint satisfaction.\\ Min-conflicts. | [[http:// |
- | | Week 13:\\ Nov 12 - Nov 16 | + | | Week 13:\\ Nov 12 - Nov 16 | Faster Reinforcement Learning. |
| Nov 19 - Nov 23 | Fall Recess | | Nov 19 - Nov 23 | Fall Recess | ||
- | | Week 14:\\ Nov 26 - Nov 30 | Constraint satisfaction. Min-conflicts | + | | Week 14:\\ Nov 26 - Nov 30 | | |
===== December ===== | ===== December ===== |