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Found 3 papers, 1 papers with code
Incentivizing High-Quality Content in Online Recommender Systems
For content recommender systems such as TikTok and YouTube, the platform's decision algorithm shapes the incentives of content producers, including how much effort the content producers invest in the quality of their content.
Incentivizing Combinatorial Bandit Exploration
The users are free to choose other actions and need to be incentivized to follow the algorithm's recommendations.
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
Specifically, the results depend on the number of bidders with the highest value: - If the number is at least three, the bidding dynamics almost surely converges to a Nash equilibrium of the auction, both in time-average and in last-iterate.
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