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Reinforcement learning and degrees of freedom in Forex trading

Yesterday I spoke about some of my initial developments in reinforcement learning using Q-learning in Forex trading and how important it is to control curve-fitting in Q-learning to ensure you don’t get algorithms that fit to the noise within the data. In today’s post I want to take a deeper look into this using the […]

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