CS440: Introduction to Artificial Intelligence

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start [2017/09/07 09:08]
anderson [September] 		start [2017/09/22 16:37]
127.0.0.1 external edit
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 ===== Announcements ===== ===== Announcements =====
  
 +Sept 7:  Assignment 2 is now complete.
  
 Aug 31: Assignment 1 now includes another example. Aug 31: Assignment 1 now includes another example.
  
-Aug 30: The A1grader.tar file in Assignment 1 has been updated 
  
 Lecture videos are available from the Canvas site (in the menu on the left) by selecting [[https://colostate.instructure.com/courses/55296/external_tools/2755|Echo 360]]. Lecture videos are available from the Canvas site (in the menu on the left) by selecting [[https://colostate.instructure.com/courses/55296/external_tools/2755|Echo 360]].
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 ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^
-| Week 3:\\ Sept 4 - Sept 8  | Informed search. A* search. Python classes, sorting, numpy arrays.  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/07 Informed Search.ipynb|07 Informed Search]]\\ [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/08 Python Classes.ipynb|08 Python Classes]]\\  [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/09 Heuristic Functions.ipynb|09 Heuristic Functions]]   | Rest of Chapter 3  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A1 Uninformed Search.ipynb|A1 Uninformed Search]] due Tuesday, September 5th, at 10:00 PM. | +| Week 3:\\ Sept 4 - Sept 8  | Informed search. A* search. Python classes, sorting, numpy arrays.  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/07 Informed Search.ipynb|07 Informed Search]]\\ [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/08 Python Classes.ipynb|08 Python Classes]]  | Rest of Chapter 3  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A1 Uninformed Search.ipynb|A1 Uninformed Search]] due Tuesday, September 5th, at 10:00 PM.\\ Here are examples of good A1 notebooks: [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/goodones/A1-good-a.ipynb|a]], [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/goodones/A1-good-b.ipynb|b]], [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/goodones/A1-good-c.ipynb|c]], [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/goodones/A1-good-d.ipynb|d]], [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/goodones/A1-good-e.ipynb|e]], [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/goodones/A1-good-f.ipynb|f]], [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/goodones/A1-good-g.ipynb|g]]  | 
-| Week 4:\\ Sept 11 - Sept 15   | A* optimality, admissible heuristics, effective branching factor.\\ Local search and optimization.  |  | Chapter 4  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A2 Iterative-Deepening Search.ipynb|A2 Iterative-Deepening Search]] due Thursday, September 14th, at 10:00 PM.   | +| Week 4:\\ Sept 11 - Sept 15   | A* optimality, admissible heuristics, effective branching factor.\\ Local search and optimization.  |[[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/09 Heuristic Functions.ipynb|09 Heuristic Functions]]\\ [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/10 Local Search.ipynb|10 Local Search]]  | Chapter 4  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A2 Iterative-Deepening Search.ipynb|A2 Iterative-Deepening Search]] due Thursday, September 14th, at 10:00 PM.\\ [[http://www.cs.colostate.edu/~anderson/cs440/notebooks/A2answer.tar|A2answer.tar]]   | 
-| Week 5:\\ Sept 18 - Sept 22   | Adversarial search. Minimax. Alpha-beta pruning. Negamax, with pruning.  |  | Chapter 5  | +| Week 5:\\ Sept 18 - Sept 22   | Adversarial search. Minimax.   | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/11 Adversarial Search.ipynb|11 Adversarial Search]] | Chapter 5  | 
-| Week 6:\\ Sept 25 - Sept 29   | Stochastic games. Expectimax. |  | Sections 5.5 - 5.6 |+| Week 6:\\ Sept 25 - Sept 29   | Alpha-beta pruning. Negamax, with pruning. Stochastic games. Expectimax. |  | Sections 5.5 - 5.6 | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A3 A*, IDS, and Effective Branching Factor.ipynb|A3 A*, IDS, and Effective Branching Factor]] due Thursday, September 28th, at 10:00 PM.   |
  
 ===== October ===== ===== October =====
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 ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^
-| Week 7:\\ Oct 2 - Oct 6  |  +| Week 7:\\ Oct 2 - Oct 6  | Negamax.  Recent research in game search.  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/12 Negamax.ipynb|12 Negamax]]\\ [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/13 Modern Game Playing.ipynb|13 Modern Game Playing]]  | 
-| Week 8:\\ Oct 9 - Oct 13  | +| Week 8:\\ Oct 9 - Oct 13  | Introduction to Reinforcement Learning.  |  | Chapter 21\\ [[http://incompleteideas.net/sutton/book/the-book-2nd.html|Reinforcement Learning: An Introduction]]  |  |
 | Week 9:\\ Oct 16 - Oct 20  |  | Week 9:\\ Oct 16 - Oct 20  | 
-| 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  | 
  
 ===== November ===== ===== November =====
start.txt · Last modified: 2024/01/08 18:40 (external edit)

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