Preprint
Aug 2026
Learning under Opponent Unawareness in Linear-Quadratic Stochastic Games
This paper studies learning in infinite-horizon, nonzero-sum linear-quadratic stochastic games under a radically uncoupled information structure, where players are either unaware of opponents or strategically oblivious, observing only their own action history.
Dantong Chu, Xue-Feng Gao, Yufei Zhang
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