Figure 1 | Scientific Reports

Figure 1

From: Designing all-pay auctions using deep learning and multi-agent simulation

Figure 1

Diagram of the contest design process (Algorithm 2). Step (1) Simulate contests and agent learning to determine the utility of possible designs. Each data point represents a (contest design, auctioneer utility) pair. Step (2) Fit a deep network to predict auctioneer utility given contest design. Step (3) Optimize the output (utility) over the input (contest design) of the deep network to find the optimal design.

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