58 3. PLANNING IN GVGAI
              
  R            
 R     
Confi g. R
Best By F1 Points Best By Win Rate
Algorithm Avg. Wins Algorithm Avg. Wins
1–6
1
5
10
EA-shift-roll
EA-shift-roll
EA-shift-roll
38.35 (2.31)
40.10 (2.51)
39.35 (2.64)
EA-tree-shift-roll
EA-shift-roll
EA-shift-roll
38.60 (2.55)
40.10 (2.51)
39.35 (2.64)
2–8
1
5
10
EA-shift-roll
EA-shift-roll
EA-shift-roll
40.35 (2.63)
40.75 (2.46)
40.20 (2.30)
EA-shift-roll
EA-shift-roll
EA-shift-roll
40.35 (2.63)
40.75 (2.46)
40.20 (2.30)
5–10
1
5
10
EA-shift-roll
EA-shift
EA-shift
43.20 (2.43)
40.05 (2.50)
40.05 (2.50)
EA-shift-roll
EA-shift-roll
EA-shift
43.20 (2.43)
41.85 (2.42)
40.05 (2.50)
10–14
1
5
10
EA-shift
EA-shift-roll
EA-shift-roll
39.75 (2.54)
42.05 (2.48)
42.35 (2.53)
EA-shift-roll
EA-tree-shift-roll
EA-shift-roll
42.80 (2.44)
42.70 (2.41)
42.35 (2.53)
3.6 EXERCISES
       
   
  
       
3.6.1 MONTE CARLO TREE SEARCH
Tweaking MCTS
             
    
         tracks.singlePlayer.advanced.sampleMCTS
   TreeNode.java          
      C    
             value() 
             
   
https://github.com/GAIGResearch/GVGAI
https://github.com/GAIGResearch/GVGAI/releases/tag/2.3
         https://gaigresearch.github.io/gvgaibook/
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