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Implemented strategy evaluation for moves and improved scoring for BayesMcts

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This commit is contained in:
Lukas Kuess
2024-01-29 17:47:00 +01:00
parent c5536e08de
commit d43899ecda
11 changed files with 68 additions and 36 deletions
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4
main.py
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@@ -83,8 +83,8 @@ def test_evaluation():
a = engine.BayesMctsEngine
b = engine.ClassicMctsEngine
limit = engine.Limit(time=0.5)
evaluator = simulation.Evaluation(a, StockFishStrategy(), b, RandomStrategy(random.Random()), limit)
results = evaluator.run(2)
evaluator = simulation.Evaluation(a, StockFishStrategy(), b, StockFishStrategy(), limit)
results = evaluator.run(24)
a_results = len(list(filter(lambda x: x.winner == simulation.Winner.Engine_A, results))) / len(results) * 100
b_results = len(list(filter(lambda x: x.winner == simulation.Winner.Engine_B, results))) / len(results) * 100
draws = len(list(filter(lambda x: x.winner == simulation.Winner.Draw, results))) / len(results) * 100