Deep reinforcement learning for time series: playing idealized trading games

11 Mar 2018Xiang Gao

Deep Q-learning is investigated as an end-to-end solution to estimate the optimal strategies for acting on time series input. Experiments are conducted on two idealized trading games... (read more)

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