Introduces VQEG, a quantum variational method with dominated embedding and projected extragradient for approximating Nash equilibria in matrix games, with O(1/S) variance bounds and tests on up to 32x32 games.
Online minimax Q network learning for two-player zero-sum markov games,
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Projected Variational Quantum Extragradient for Zero-Sum Games
Introduces VQEG, a quantum variational method with dominated embedding and projected extragradient for approximating Nash equilibria in matrix games, with O(1/S) variance bounds and tests on up to 32x32 games.