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Faster Game Solving via Predictive Blackwell Approachability: Connecting
  Regret Matching and Mirror Descent

Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent

28 July 2020
Gabriele Farina
Christian Kroer
T. Sandholm
ArXivPDFHTML

Papers citing "Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent"

5 / 5 papers shown
Title
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
David Sychrovský
Christopher Solinas
Revan MacQueen
Kevin Wang
James Wright
Nathan R Sturtevant
Michael Bowling
16
0
0
26 Apr 2025
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
Yang Cai
Gabriele Farina
Julien Grand-Clément
Christian Kroer
Chung-Wei Lee
Haipeng Luo
Weiqiang Zheng
32
6
0
15 Jun 2024
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
Yang Cai
Gabriele Farina
Julien Grand-Clément
Christian Kroer
Chung-Wei Lee
Haipeng Luo
Weiqiang Zheng
14
1
0
01 Nov 2023
A Unified View of Large-scale Zero-sum Equilibrium Computation
A Unified View of Large-scale Zero-sum Equilibrium Computation
Kevin Waugh
J. Andrew Bagnell
40
25
0
18 Nov 2014
Blackwell Approachability and Low-Regret Learning are Equivalent
Blackwell Approachability and Low-Regret Learning are Equivalent
Jacob D. Abernethy
Peter L. Bartlett
Elad Hazan
65
108
0
08 Nov 2010
1