Jun 8, 2022 · In this paper, we consider a distributed memoryless contextual linear bandit learning problem, where the agents who observe the contexts and take actions are ...
Agrawal and N. Goyal. Thompson sampling for contextual bandits with linear payoffs. In. International conference on machine learning, pages 127–135. PMLR, 2013.
Jun 8, 2022 · In this paper, we consider a distributed memoryless contextual linear bandit learning problem, where the agents who observe the contexts and ...
Oct 31, 2022 · In this paper, we consider the distributed contextual linear bandit learning problem, where the agents who observe the contexts and take actions ...
Algorithm 1 Communication efficient for contextual linear bandits with known distribution. 1: Input: an algorithm Λ for one context case, underlying set of ...
In this paper, we consider a distributed memoryless contextual linear bandit learning problem, where the agents who observe the contexts and take actions are ...
Apr 3, 2024 · In this paper, we consider a distributed memoryless contextual linear bandit learning problem, where the agents who observe the contexts and ...
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Nov 27, 2022 · Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context. Osama Hanna · Lin Yang · Christina Fragouli. Hall J ...
In this paper, we consider a distributed memoryless contextual linear bandit learning problem, where the agents who observe the contexts and take actions are ...
Learning in distributed contextual linear bandits without sharing the context. Hanna, O. A, Yang, L. F, & Fragouli, C. arXiv preprint arXiv:2206.04180, ...