Quantum-ScalingRL / Performance_Trend_Over_Edit_Cycles.py
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edit_cycles = list(range(1, 16))
performance_trend = [0.71, 0.73, 0.75, 0.76, 0.78, 0.79, 0.81, 0.82, 0.83, 0.84, 0.85, 0.85, 0.86, 0.86, 0.87]
plt.plot(edit_cycles, performance_trend, marker='o')
plt.title("Performance Trend Over Edit Cycles")
plt.xlabel("Edit Cycle")
plt.ylabel("Final Reward")
plt.grid(True)
plt.show()