10 citations · 30 across the 6 of their papers we have counts for
3 papers · 1 filter
A Formal Solution to the Grain of Truth Problem
Jan Leike, Jessica Taylor, Benya Fallenstein
A Bayesian agent acting in a multi-agent environment learns to predict the other agents' policies if its prior assigns positive probability to them (in other words, its prior conta…
Logical Induction
Scott Garrabrant, Tsvi Benson-Tilsen, Andrew Critch +2
We present a computable algorithm that assigns probabilities to every logical statement in a given formal language, and refines those probabilities over time. For instance, if the…
Asymptotic Convergence in Online Learning with Unbounded Delays
Scott Garrabrant, Nate Soares, Jessica Taylor
We study the problem of predicting the results of computations that are too expensive to run, via the observation of the results of smaller computations. We model this as an online…