812 citations · 826 across the 11 of their papers we have counts for
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cs.AI2019
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of -Regression Counterfactual Regret Minimization
Ryan D'Orazio, Dustin Morrill, James R. Wright +1
Function approximation is a powerful approach for structuring large decision problems that has facilitated great achievements in the areas of reinforcement learning and game playin…
cs.AI2019
Rethinking Formal Models of Partially Observable Multiagent Decision Making
Vojtěch Kovařík, Martin Schmid, Neil Burch +2
Multiagent decision-making in partially observable environments is usually modelled as either an extensive-form game (EFG) in game theory or a partially observable stochastic game…