Stochastic Linear Bandits with Partially Observed Actions
英文标题：Stochastic Linear Bandits with Partially Observed Actions
arXiv:2607.08971v1 Announce Type: new Abstract: The stochastic linear bandit, where actions are represented as vectors and rewards are linear, is a central paradigm for sequential decision making. We study a partially observed variant of this problem in which the learning agent only sees a random s
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arXiv:2607.08971v1 Announce Type: new Abstract: The stochastic linear bandit, where actions are represented as vectors and rewards are linear, is a central paradigm for sequential decision making. We study a partially observed variant of this problem in which the learning agent only sees a random s
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