Search Results for author: Maxwell Goldstein

Found 3 papers, 1 papers with code

Match Prediction Using Learned History Embeddings

no code implementations29 Sep 2021 Maxwell Goldstein, Leon Bottou, Rob Fergus

Contemporary ranking systems that are based on win/loss history, such as Elo or TrueSkill represent each player using a scalar estimate of ability (plus variance, in the latter case).

Learning Generalized Reactive Policies using Deep Neural Networks

no code implementations24 Aug 2017 Edward Groshev, Maxwell Goldstein, Aviv Tamar, Siddharth Srivastava, Pieter Abbeel

We show that a deep neural network can be used to learn and represent a \emph{generalized reactive policy} (GRP) that maps a problem instance and a state to an action, and that the learned GRPs efficiently solve large classes of challenging problem instances.

Decision Making feature selection

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