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start [2017/09/26 08:30]
anderson [September]
start [2017/10/20 14:29]
anderson
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 | 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 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. Stochastic games.  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/11 Adversarial Search.ipynb|11 Adversarial Search]] | Chapter 5  | | Week 5:\\ Sept 18 - Sept 22   | Adversarial search. Minimax. Alpha-beta pruning. Stochastic games.  | [[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   | Negamax, with pruning. | [[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]]    | [[http://ieeexplore.ieee.org/document/6972394/?section=abstract|Enhanced parallel NegaMax tree search algorithm on GPU]]\\ [[https://deepmind.com/research/alphago/|AlphaGo]]  | [[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 Friday, September 29th, at 10:00 PM.   |+| Week 6:\\ Sept 25 - Sept 29   | Negamax, with pruning. | [[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]]    |   | [[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 Friday, September 29th, at 10:00 PM.   |
  
 ===== October ===== ===== October =====
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 |< 100% 10% 20% 30% 20% 20%  >| |< 100% 10% 20% 30% 20% 20%  >|
 ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^
-| Week 7:\\ Oct 2 - Oct 6  | Introduction to Reinforcement Learning.  | Chapter 21\\ [[http://incompleteideas.net/sutton/book/the-book-2nd.html|Reinforcement Learning: An Introduction]]  |  | +| Week 7:\\ Oct 2 - Oct 6  | Introduction to Reinforcement Learning. [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/14 Introduction to Reinforcement Learning.ipynb|14 Introduction to Reinforcement Learning]]   | Chapter 21\\ [[http://incompleteideas.net/sutton/book/the-book-2nd.html|Reinforcement Learning: An Introduction]]  |  | 
-| Week 8:\\ Oct 9 - Oct 13  |  |  |  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A4 Negamax with Alpha-Beta Pruning and Iterative Deepening.ipynb|A4 Negamax with Alpha-Beta Pruning and Iterative Deepening]] due Wednesday, October 11th, at 10:00 PM.  | +| Week 8:\\ Oct 9 - Oct 13  | Reinforcement Learning for Two-Player Games.\\ Introduction to Neural Networks  [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/15 Reinforcement Learning for Two-Player Games.ipynb|15 Reinforcement Learning for Two-Player Games]]\\ [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/16 Introduction to Neural Networks.ipynb|16 Introduction to Neural Networks]]  Sections 18.6 and 18.7  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A4 Negamax with Alpha-Beta Pruning and Iterative Deepening.ipynb|A4 Negamax with Alpha-Beta Pruning and Iterative Deepening]] due Wednesday, October 11th, at 10:00 PM.  | 
-| Week 9:\\ Oct 16 - Oct 20  |  +| Week 9:\\ Oct 16 - Oct 20  | More Neural Networks  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/17 More Introduction to Neural Networks.ipynb|17 More Introduction to Neural Networks]]  | 
-| Week 10:\\ Oct 23 - Oct 27  | +| Week 10:\\ Oct 23 - Oct 27   |  |  | [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/A5 Reinforcement Learning Solution to Towers of Hanoi.ipynb|A5 Reinforcement Learning Solution to Towers of Hanoi]] due Wednesday, October 25th, at 10:00 PM.  |
  
 ===== November ===== ===== November =====
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 |< 100% 10% 20% 30% 20% 20%  >| |< 100% 10% 20% 30% 20% 20%  >|
 ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^
-| Week 11:\\ Oct 30 - Nov 3  |    |+| Week 11:\\ Oct 30 - Nov 3  |   [[http://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs440/notebooks/Project Proposal.ipynb|Project Proposal]] due Wednesday, November 1st, at 10:00 PM. |
 | Week 12:\\ Nov 6 - Nov 10  |  |  |  | | Week 12:\\ Nov 6 - Nov 10  |  |  |  |
 | Week 13:\\ Nov 13 - Nov 17  |  |  |  | | Week 13:\\ Nov 13 - Nov 17  |  |  |  |
start.txt · Last modified: 2024/01/08 18:40 (external edit)