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TSP
2010
8 years 6 months ago
Distributed learning in multi-armed bandit with multiple players
We formulate and study a decentralized multi-armed bandit (MAB) problem. There are distributed players competing for independent arms. Each arm, when played, offers i.i.d. reward a...
Keqin Liu, Qing Zhao
ICASSP
2010
IEEE
9 years 18 hour ago
Distributed learning in cognitive radio networks: Multi-armed bandit with distributed multiple players
—We consider a cognitive radio network with distributed multiple secondary users, where each user independently searches for spectrum opportunities in multiple channels without e...
Keqin Liu, Qing Zhao
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