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Found 4 papers, 2 papers with code
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
Iterative combinatorial auctions are widely used in high stakes settings such as spectrum auctions.
How to Evaluate Behavioral Models
Researchers building behavioral models, such as behavioral game theorists, use experimental data to evaluate predictive models of human behavior.
Better Peer Grading through Bayesian Inference
Peer grading systems aggregate noisy reports from multiple students to approximate a true grade as closely as possible.
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
Supervised learning models often make systematic errors on rare subsets of the data.
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