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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 29 / No.1: The Twenty-Ninth Conference on Artificial Intelligence

Solving Games with Functional Regret Estimation

March 8, 2023

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Authors

Kevin Waugh

Carnegie Mellon University


Dustin Morrill

University of Alberta


James Bagnell

Carnegie Mellon University


Michael Bowling

University of Alberta


DOI:

10.1609/aaai.v29i1.9445


Abstract:

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 choosing a particular action. A no-regret algorithm uses these estimates in place of the true regrets to define a sequence of policies. We prove the approach sound by providing a bound relating the quality of the function approximation and regret of the algorithm. A corollary being that the method is guaranteed to converge to a Nash equilibrium in self-play so long as the regrets are ultimately realizable by the function approximator. Our technique can be understood as a principled generalization of existing work onabstraction in large games; in our work, both the abstraction as well as the equilibrium are learned during self-play. We demonstrate empirically the method achieves higher quality strategies than state-of-the-art abstraction techniques given the same resources.

Topics: AAAI

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HOW TO CITE:

Kevin Waugh|| Dustin Morrill|| James Bagnell|| Michael Bowling Solving Games with Functional Regret Estimation Proceedings of the AAAI Conference on Artificial Intelligence, 29 (2015) .

Kevin Waugh|| Dustin Morrill|| James Bagnell|| Michael Bowling Solving Games with Functional Regret Estimation AAAI 2015, .

Kevin Waugh|| Dustin Morrill|| James Bagnell|| Michael Bowling (2015). Solving Games with Functional Regret Estimation. Proceedings of the AAAI Conference on Artificial Intelligence, 29, .

Kevin Waugh|| Dustin Morrill|| James Bagnell|| Michael Bowling. Solving Games with Functional Regret Estimation. Proceedings of the AAAI Conference on Artificial Intelligence, 29 2015 p..

Kevin Waugh|| Dustin Morrill|| James Bagnell|| Michael Bowling. 2015. Solving Games with Functional Regret Estimation. "Proceedings of the AAAI Conference on Artificial Intelligence, 29". .

Kevin Waugh|| Dustin Morrill|| James Bagnell|| Michael Bowling. (2015) "Solving Games with Functional Regret Estimation", Proceedings of the AAAI Conference on Artificial Intelligence, 29, p.

Kevin Waugh|| Dustin Morrill|| James Bagnell|| Michael Bowling, "Solving Games with Functional Regret Estimation", AAAI, p., 2015.

Kevin Waugh|| Dustin Morrill|| James Bagnell|| Michael Bowling. "Solving Games with Functional Regret Estimation". Proceedings of the AAAI Conference on Artificial Intelligence, 29, 2015, p..

Kevin Waugh|| Dustin Morrill|| James Bagnell|| Michael Bowling. "Solving Games with Functional Regret Estimation". Proceedings of the AAAI Conference on Artificial Intelligence, 29, (2015): .

Kevin Waugh|| Dustin Morrill|| James Bagnell|| Michael Bowling. Solving Games with Functional Regret Estimation. AAAI[Internet]. 2015[cited 2023]; .


ISSN: 2374-3468


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