Adversarial Combinatorial Bandits with Switching Cost and Arm Selection Constraints
Author:
Affiliation:
1. University of Miami,Department of Electrical and Computer Engineering
2. Institute for Interdisciplinary Information Sciences, Tsinghua University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10621050/10621073/10621364.pdf?arnumber=10621364
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1. Comparison Lift: Bandit-based Experimentation System for Online Advertising
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4. CBMoS: Combinatorial Bandit Learning for Mode Selection and Resource Allocation in D2D Systems
5. Minimal exploration in structured stochastic bandits;Combes;Advances in Neural Information Processing Systems,2017
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