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John Mosquera won the AWS DeepRacer Vodafone Championship in 2023, competing against over 200 engineers. What key strategies did he employ using machine learning and AI to achieve this victory?
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John's winning strategy involved a multi-faceted approach to machine learning and AI. He used reinforcement learning to train his models, which allowed the DeepRacer to learn through trial and error in the AWS DeepRacer simulation. He applied trading strategies, specifically an 'ETFs type strategy' for the qualifying rounds, focusing on managing volatility and ensuring consistent improvement. For the final round, he shifted to a more 'HFs type strategy,' which was more aggressive and event-driven, demonstrating adaptability. He refined his reward function in Python and optimized hyperparameters to fine-tune the model's performance. This combination of strategic thinking, technical expertise, and adaptability led to his victory. John Mosquera won the AWS DeepRacer Championship by using reinforcement learning, applying trading-inspired strategies (ETFs for qualifying, HFs for finals), refining reward functions in Python, and optimizing hyperparameters.