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Minimum performance delta

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Matthias Guillitte
2026-11-03 08:30:41 +01:00
parent 3d2f98d56e
commit d6e2fc7be9
1 changed files with 2 additions and 1 deletions
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game/handlers/aiHttpGameHandler.py
+2 -1
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@@ -56,6 +56,7 @@ class AiHttpGameHandler(GameHandler):
MAP_PASS_MIN_SCORE = 20 # Minimum score to consider a map passed. Only used if PLAY_ALL_MAPS_PER_GENERATION is False. If True, all maps are played in a generation. MAP_PASS_MIN_SCORE = 20 # Minimum score to consider a map passed. Only used if PLAY_ALL_MAPS_PER_GENERATION is False. If True, all maps are played in a generation.
MAP_DIFFICULTY_VARIANCE = 5 # Lower value will make the map selection more variable, higher value will make the map selection more consistent with the current performance. Only used if PLAY_ALL_MAPS_PER_GENERATION is False. A value too high may produce no evolving behavior MAP_DIFFICULTY_VARIANCE = 5 # Lower value will make the map selection more variable, higher value will make the map selection more consistent with the current performance. Only used if PLAY_ALL_MAPS_PER_GENERATION is False. A value too high may produce no evolving behavior
CONSISTENCY_PENALTY_WEIGHT = 0.4 # Penalty for inconsistent map scores CONSISTENCY_PENALTY_WEIGHT = 0.4 # Penalty for inconsistent map scores
MINIMUM_PERFORMANCE_DELTA = 0.05 # Minimum performance delta to add every generation. This ensures that the map will always change even if the ai is stuck in a local optimum. Only used if PLAY_ALL_MAPS_PER_GENERATION is False. A value too high may produce no evolving behavior
def __init__(self, host: str | None = None, port: int | None = None, def __init__(self, host: str | None = None, port: int | None = None,
max_workers: int | None = None): max_workers: int | None = None):
@@ -268,7 +269,7 @@ class AiHttpGameHandler(GameHandler):
top_90_scores = sorted_scores[:top_90_count] top_90_scores = sorted_scores[:top_90_count]
avg_top_90_score = sum(top_90_scores) / len(top_90_scores) avg_top_90_score = sum(top_90_scores) / len(top_90_scores)
performance_delta = (avg_top_90_score - self.MAP_PASS_MIN_SCORE) / self.MAP_DIFFICULTY_VARIANCE performance_delta = (avg_top_90_score - self.MAP_PASS_MIN_SCORE) / self.MAP_DIFFICULTY_VARIANCE
performance_delta = max(0.05, performance_delta) performance_delta = max(self.MINIMUM_PERFORMANCE_DELTA, performance_delta)
session["performance"] = max(0.0, session.get("performance", 0.0) + performance_delta) session["performance"] = max(0.0, session.get("performance", 0.0) + performance_delta)
# print(f"Generation {session['generation']} completed on difficulty {map_difficulty}. Best score: {best_score:.2f}. Updated performance: {session['performance']:.2f}", flush=True) # print(f"Generation {session['generation']} completed on difficulty {map_difficulty}. Best score: {best_score:.2f}. Updated performance: {session['performance']:.2f}", flush=True)