Learning to trade cryptocurrencies with reinforcement learning

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Reinforcement learning trading. Development, part 1
Li et al. [11] proposed another deep reinforcement learning architecture for high-frequency trading (HFT) of cryptocurrencies. The key component. In this work Deep Reinforcement Learning is applied to trade bitcoin. More precisely, Double and Dueling Double Deep Q-learning Networks are compared over a. In this paper, we propose a practical approach to address backtest overfitting for cryptocurrency trading using deep reinforcement learning.