# Differences

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 en:dydaktyka:ggp:game_tree_1 [2018/01/23 20:13]msl [Classical Game Theory Algorithms] en:dydaktyka:ggp:game_tree_1 [2019/01/03 22:00] (current)msl Both sides previous revision Previous revision 2019/01/03 22:00 msl 2018/01/23 20:13 msl [Classical Game Theory Algorithms] 2018/01/23 13:36 msl [Ćwiczenia] 2018/01/23 13:12 msl [Ćwiczenia] 2018/01/23 13:10 msl [Alpha-Beta Pruning] 2018/01/23 13:06 msl [Two-moves Lookahead] 2018/01/23 12:48 msl created 2019/01/03 22:00 msl 2018/01/23 20:13 msl [Classical Game Theory Algorithms] 2018/01/23 13:36 msl [Ćwiczenia] 2018/01/23 13:12 msl [Ćwiczenia] 2018/01/23 13:10 msl [Alpha-Beta Pruning] 2018/01/23 13:06 msl [Two-moves Lookahead] 2018/01/23 12:48 msl created Line 171: Line 171: - bonus assignments - bonus assignments - add possibility to cinstraint the search depth (several moves look-ahead) --- it's a classical method to scale the AI power. Why this method may be better than the timeout? ​       ​ - add possibility to cinstraint the search depth (several moves look-ahead) --- it's a classical method to scale the AI power. Why this method may be better than the timeout? ​       ​ - - implement the  [[http://sandbox.thimbleby.net/algorithms/doku.php?​id=minimax_search|NegaMax algorithm]] + - implement the  [[https://​thimbleby.gitlab.io/algorithm-wiki-site/​wiki/​minimax_search/|NegaMax algorithm]] Line 181: Line 181: Ending of [[https://​www.youtube.com/​watch?​v=Ewh-rF7KSEg|the video]] shows an example of the Alpha-Beta pruning. Ending of [[https://​www.youtube.com/​watch?​v=Ewh-rF7KSEg|the video]] shows an example of the Alpha-Beta pruning. - [[http://will.thimbleby.net/algorithms/doku.php?​id=minimax_search_with_alpha-beta_pruning|Interactive Visualization of the algorithm]]. + [[https://​thimbleby.gitlab.io/algorithm-wiki-site/​wiki/​minimax_search_with_alpha-beta_pruning/|Interactive Visualization of the algorithm]].
en/dydaktyka/ggp/game_tree_1.txt · Last modified: 2019/01/03 22:00 by msl