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Sum of Combinatorial Games by Leaf Wednesday, October 12th, 2004
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Past Work Games with More than One Option Amazons Endgames Amazons Endgames vs. Random Games Games with Different Temperatures Future Work
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Problem Description Given: Subgames in a Game Question: Play on which Subgame? Subgame 1: (left edge) 0 | -1 Subgame 2: (up edge) 0 | -2 || -3 Subgame 3: (bottom edge) 5 || 2 | 0
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Methods of Choosing a Subgame Minimax Search Hotstrat: Choose the Subgame with highest temperature Hotstrat+: Consider Sente Thermostrat: Choose Subgame from Thermograph Depth-bounded αβ Search Temperature-bounded αβ Serach
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Random Data (one option) 100 Games 5 Subgames/Game Only One Option in a Move In every Subgame: Format: a | b || c | d d = 0 c = d + random(50) b = c + random(50) a = b + random(50) 56 | 31 || 12 | 0 101 | 63 || 48 | 0 68 | 54 || 17 | 0 60 | 19 || 9 | 0 117 | 79 || 49 | 0
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Random Data (many options) Based on Games with Only One Option For every move A|B, add one more option A, { A+Random(Δ) | A+Random(Δ) } | B, { B+Random(Δ) | B+Random(Δ) } We let Δ = 10 right now 50,{51|47}|12,{14|11}||8,{15|4}|0,{4|0} 58,{67|52}|23,{29|18}||8,{10|5}|0,{6|-6} 106,{114|99}|86,{88|81}||43,{46|39}|0,{1|-2} 50,{50|46}|38,{42|30}||1,{3|1}|0,{7|-4} 90,{99|85}|83,{92|81}||40,{40|33}|0,{0|-5}
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Amazons Endgames In Combinatorial Game Suite, (CGSuite) Generate all Amazons Endgame with 3 arrows on 3x3 board Randomly pick up these endgames as subgames Temperatures are low, but with many options and depths {3|1,{2|-1,+-1}} {1/2,{1|1/2}|-2,{0|-2}} {1,{2|1/2,{1|*}}|-3} +-3 {3|-1/2*}
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Minimax plays Left Minimax plays Right Hotstrat 205.2531.25 Thermostrat 226.519.25 Depth-bounded αβ 3-ply 138124.75 Temperature-bounded αβ 170.586.25 Match Results on Amazons Endgames Play 100 Games, with 20 Subgames in a Game Minimax vs. Minimax: 131.75
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Match Results on Random Games Play 100 Games, with 5 2-level 2-option Subgames in a Game Difference from Minimax vs. Minimax (Minimax plays Left) Δ246102050 Hotstrat0245387174493 Thermostrat02065111230595 Depth-bounded αβ 3-ply0182161162 Temperature-bounded αβ061743140387
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Match Results on Random Games Play 100 Games, with 5 2-level 2-option Subgames in a Game Difference from Minimax vs. Minimax (Minimax plays Right) Δ246102050 Hotstrat0315196186431 Thermostrat24186136236536 Depth-bounded αβ 3-ply0472761161 Temperature-bounded αβ0123072152404
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Some Guess from Results In Amazons Endgames, Depth-bounded αβ plays much better than others Temperature-bounded αβ is also better than Hotstrat and Thermostrat in Amazons Endgames In Random Games, the performance is similar to that in Amazons Endgames When Δ gets better, the difference between Strategies gets bigger
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Future Work/Questions How to generate Endgames “look like” Amazons or Go Endgames? Why Depth-bounded αβ plays much better than Hotstrat? Others?
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