Abstract:In many decision-making tasks, some specific actions are limited in their frequency or total amounts, such as "fire" in the gunfight game and "buy/sell" in the stock trading. We name such actions as "sparse action". Sparse action often plays a crucial role in achieving good performance. However, their Q-values, estimated by classical Bellman update, usually suffer from a large estimation error due to the sparsity of their samples. The greedy policy could be greatly misled by the biased Q-function and takes spa… Show more
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