233 citations · 581 across the 28 of their papers we have counts for
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cs.LG2018
Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2
Alexander Peysakhovich
Inferring a person's goal from their behavior is an important problem in applications of AI (e.g. automated assistants, recommender systems). The workhorse model for this task is t…
stat.ML2018★ 2 cited
Improving pairwise comparison models using Empirical Bayes shrinkage
Stephen Ragain, Alexander Peysakhovich, Johan Ugander
Comparison data arises in many important contexts, e.g. shopping, web clicks, or sports competitions. Typically we are given a dataset of comparisons and wish to train a model to m…
cs.AI2018
Learning Existing Social Conventions via Observationally Augmented Self-Play
Adam Lerer, Alexander Peysakhovich
In order for artificial agents to coordinate effectively with people, they must act consistently with existing conventions (e.g. how to navigate in traffic, which language to speak…