Multi-armed Bandit Formulation of the Task Partitioning Problem in Swarm Robotics. In Swarm Intelligence; Springer: Berlin/Heidelberg, Germany, 2012; pp. 109-120.Pini, G., Brutschy, A., Francesca, G., Dorigo, M., Birattari, M.: Multi- armed Bandit Formulation of the Task Partitioning ...
Multi-armed Bandit Formulation of the Task Partitioning Problem in Swarm Robotics 来自 Springer 喜欢 0 阅读量: 48 作者:G Pini,A Brutschy,G Francesca,M Dorigo,M Birattari 摘要: Task partitioning is a way of organizing work consisting in the decomposition of a task into smaller sub-tasks ...
因此本论文解决的问题是:通过局部的bandit模型(Non-IID),学习全局的stochastic MAB模型,同时保证通信的效率和局部模型隐私不被泄露。 解决办法:提出了FMAB框架。该框架在作者认知内尽可能将FL推广应用到了MAB上,使得bandit problem可以基于FL来进行分布式协作计算。 这个近似模型没有假设任何次优的先验知识,意思就是clien...
In defining these methods, we model the appliances scheduling problem as a Multi-Armed Bandit (MAB) problem, a classical formulation of decision theory. We analyze the proposed learning methods based on realistic instances in several use-case scenarios and show numerically their effectiveness in ...
In many application domains, temporal changes in the reward distribution structure are modeled as a Markov chain. In this chapter, we present the formulation, theoretical bound, and algorithms for the Markov MAB problem, where the rewards are characterized by unknown irreducible Markov processes. Two...
We have discovered an error in the return-to-state formulation of the HMM multiarmed bandit problem of Krishnamurthy and Evans (see IEEE Trans. Signal Proc... V Krishnamurthy,Evans, R.J - 《IEEE Transactions on Signal Processing》 被引量: 125发表: 2003年 Extreme Compass and Dynamic Multi-...
Keywords:multiarmedbandit;indexpolicies;Bellmanequation;robustMarkovdecisionpro- cesses;uncertaintransitionmatrix;projectselection. 1.Introduction TheclassicalMulti-armedBandit(MAB)problemcanbereadilyformulatedasaMarkovdecision process(MDP).AtraditionalassumptionfortheMDPformulationisthatthestatetransition probabilitiesare...
We formulate the following combinatorial multi-armed bandit (MAB) problem: There are $N$ random variables with unknown mean that are each instantiated in an i.i.d. fashion over time. At each time multiple random variables can be selected, subject to an arbitrary constraint on weights associated...
Cell Selection in a Dynamic Femtocell Environment : Restless Multi-Armed Bandit Formulation In this report, we model the problem of cell selection in open-access femtocell networks as a decentralized restless multi-armed bandit (RMAB) with unknown... D Chaima,O Tomoaki - 《電子情報通信学会技術...
on-line advertising. The multi-armed bandit problem offers a very clean, simple theoretical formulation for analyzing trade-offs between exploration and exploitation. A comprehensive overview of bandit problems from a statistical perspective is given in Berry & Fristedt ...