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 ...
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 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...
The unified Overtaking method which is an implementation of the principle of optimism in the face of uncertainty in multi-armed bandit problems is associated with an upper bound of a confidence interval of an expected reward. The unification of the formulation enhance the universality of Overtaking ...
Keywords:multiarmedbandit;indexpolicies;Bellmanequation;robustMarkovdecisionpro- cesses;uncertaintransitionmatrix;projectselection. 1.Introduction TheclassicalMulti-armedBandit(MAB)problemcanbereadilyformulatedasaMarkovdecision process(MDP).AtraditionalassumptionfortheMDPformulationisthatthestatetransition probabilitiesare...
The classic formulation of the multi-armed bandit problem in the context of clinical practice is as follows: there are ℓ≥2 treatments (arms) to treat a disease. The doctor (decision maker) has to choose for each patient, one of the ℓ available treatments, which result in a reward ...
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...
Task description The multi-armed bandit task (MABT) usually involves choosing among multiple possible actions that lead to immediate reward and about which nothing is initially known. The MABT took its name from the "one-armed bandit," another term for the slot machine. Rather than the one ...
3.2. Assured Accuracy Bandit (AAB) framework Recall that a task t∈{1,…,T} needs to be completed with an assured accuracy with the optimal cost in a sequential fashion. Hence for each task t, the following optimization problem needs to be solved.(2)minXit∈{0,1}∑iciXit,s.t.,...
Capdevielle, "Autonomous resource allocation for dense lte networks: A multi armed bandit formulation," IEEE Personal Indoor and Mo- bile Radio Communications (PIMRC), 2011.A. Feki and V. Capdevielle, "Autonomous resource allocation for dense lte networks: A multi armed bandit formulation," in ...