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Simulate the scores of matches and get the best possible strategy during the game

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scoring-simulator

Simulate the scores of matches and get the best possible strategy during the game using the Monte Carlo method

Note that the current data is fake and doesn't reflect the actual robot because there is no data available right now.

It also doesn't include the bonuses that can be acheived during endgame.

The output as of 11/10/2022:

Best 10 auto strategies:
{'score': 42, 'strategy': ['low', 'low', 'medium', 'medium', 'medium', 'medium', 'park']}
{'score': 42, 'strategy': ['ground', 'medium', 'medium', 'medium', 'medium', 'medium', 'park']}
{'score': 41, 'strategy': ['ground', 'low', 'medium', 'medium', 'medium', 'medium', 'park']}
{'score': 41, 'strategy': ['medium', 'medium', 'medium', 'medium', 'medium', 'park', 'terminal']}
{'score': 41, 'strategy': ['ground', 'ground', 'low', 'low', 'low', 'medium', 'medium', 'park']}
{'score': 41, 'strategy': ['high', 'medium', 'medium', 'medium', 'medium', 'park']}
{'score': 41, 'strategy': ['low', 'low', 'low', 'medium', 'medium', 'medium', 'park']}
{'score': 41, 'strategy': ['ground', 'ground', 'ground', 'low', 'medium', 'medium', 'medium', 'park']}
{'score': 41, 'strategy': ['ground', 'low', 'low', 'low', 'low', 'low', 'medium', 'park']}
{'score': 40, 'strategy': ['ground', 'high', 'low', 'low', 'low', 'medium', 'park']}

Best 10 driver strategies:


{'score': 90, 'strategy': ['ground', 'ground', 'ground', 'high', 'high', 'low', 'low', 'low', 'low', 'low', 'low', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium']}

{'score': 90, 'strategy': ['ground', 'ground', 'high', 'high', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium']}

{'score': 89, 'strategy': ['ground', 'ground', 'high', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'terminal']}

{'score': 89, 'strategy': ['ground', 'ground', 'ground', 'ground', 'high', 'high', 'low', 'low', 'low', 'low', 'low', 'low', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'terminal']}

{'score': 89, 'strategy': ['ground', 'ground', 'ground', 'high', 'low', 'low', 'low', 'low', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'terminal', 'terminal']}

{'score': 89, 'strategy': ['ground', 'ground', 'ground', 'high', 'high', 'high', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium']}

{'score': 89, 'strategy': ['ground', 'ground', 'ground', 'ground', 'ground', 'high', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'terminal']}

{'score': 89, 'strategy': ['ground', 'ground', 'ground', 'ground', 'ground', 'ground', 'high', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'terminal']}

{'score': 89, 'strategy': ['ground', 'ground', 'high', 'high', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'terminal']}

{'score': 89, 'strategy': ['ground', 'ground', 'ground', 'high', 'high', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'low', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'medium', 'terminal']}

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