812 citations · 840 across the 6 of their papers we have counts for
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cs.AI2014
Solving Games with Functional Regret Estimation
Kevin Waugh, Dustin Morrill, J. Andrew Bagnell +1
We propose a novel online learning method for minimizing regret in large extensive-form games. The approach learns a function approximator online to estimate the regret for choosin…
cs.AI2014★ 9 cited
A Unified View of Large-scale Zero-sum Equilibrium Computation
Kevin Waugh, J. Andrew Bagnell
The task of computing approximate Nash equilibria in large zero-sum extensive-form games has received a tremendous amount of attention due mainly to the Annual Computer Poker Compe…