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Auction-Based Combinatorial Multi-Armed Bandit Mechanisms with Strategic Arms
IEEE Conference on Computer Communications, 2021The multi-armed bandit (MAB) model has been deeply studied to solve many online learning problems, such as rate allocation in communication networks, Ad recommendation in social networks, etc.
Guoju Gao +5 more
semanticscholar +1 more source
Multi-Armed Exponential Bandit
SSRN Electronic Journal, 2020Exponential bandits are widely adopted in economics and marketing due to their tractability. This paper analyzes the one-agent multi-armed account of exponential bandits, where the agent dynamically selects arms to maximize total payoff. We motivate our base model by examples with arms being of the same type, while the results are generalized to cases ...
Kanglin Chen +4 more
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Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey
IEEE wireless communications, 2020Assigning bands of the wireless spectrum as resources to users is a common problem in wireless networks. Typically, frequency bands were assumed to be available in a stable manner. Nevertheless, in recent scenarios where wireless networks may be deployed
Feng Li +5 more
semanticscholar +1 more source
Minimizing Entropy for Crowdsourcing with Combinatorial Multi-Armed Bandit
IEEE Conference on Computer Communications, 2021Nowadays, crowdsourcing has become an increasingly popular paradigm for large-scale data collection, annotation, and classification. Today’s rapid growth of crowdsourcing platforms calls for effective worker selection mechanisms, which oftentimes have to
Yiwen Song, Haiming Jin
semanticscholar +1 more source
MAMBA: A Multi-armed Bandit Framework for Beam Tracking in Millimeter-wave Systems
IEEE Conference on Computer Communications, 2020Millimeter-wave (mmW) spectrum is a major candidate to support the high data rates of 5G systems. However, due to directionality of mmW communication systems, misalignments between the transmit and receive beams occur frequently, making link maintenance ...
Irmak Aykin +3 more
semanticscholar +1 more source
Multi‐Armed Bandit Allocation Indices
Journal of the Royal Statistical Society. Series A (Statistics in Society), 19903. Multi‐armed Bandit Allocation Indices. By J. C. Gittins. ISBN 0 471 92059 2. Wiley, Chichester, 1989. xii + 252pp. £29.95.
J. Bather, J. Gittins
semanticscholar +2 more sources
Secure Outsourcing of Multi-armed Bandits
2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2020We consider the problem of cumulative reward maximization in multi-armed bandits. We address the security concerns that occur when data and computations are outsourced to an honest-but-curious cloud i.e., that executes tasks dutifully, but tries to gain as much information as possible.
Ciucanu, Radu +3 more
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Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference
International Conference on Artificial Intelligence and StatisticsMulti-armed bandit has been well known for its efficiency in online decision-making in terms of minimizing the loss of the participants’ welfare during experiments (i.e., the regret).
D. Simchi-Levi, Chong-Hong Wang
semanticscholar +1 more source
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems
Adaptive Agents and Multi-Agent Systems, 2021We propose Streaming Bandits, a Restless Multi-Armed Bandit (RMAB) framework in which heterogeneous arms may arrive and leave the system after staying on for a finite lifetime. Streaming Bandits naturally capture the health-intervention planning problem,
Aditya Mate +3 more
semanticscholar +1 more source
Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks
IEEE Transactions on Vehicular Technology, 2020Mobile edge computing (MEC) is an emerging paradigm to offload computations from the cloud to the MEC servers in vehicular networks, aiming at better supporting computation-intensive services with requirements of low latency and real-time processing.
Penglin Dai +6 more
semanticscholar +1 more source